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246 Commits

Author SHA1 Message Date
Marco De Lucia
58175dd8e2 Merge branch 'mdl/defaultstorelease' into 'main'
DEFAULT_BUILD_TYPE set to Release

See merge request naaice/poet!60
2025-12-06 22:37:17 +01:00
Marco De Lucia
c8a779ca58 set DEFAULT_BUILD_TYPE to "Release"; defined properties so one cycles through when using ccmake 2025-11-14 19:19:07 +01:00
Marco De Lucia
14c08460ad Merge branch 'mdl/readme' into 'main'
Mdl/readme

Closes #22

See merge request naaice/poet!59
2025-11-14 15:31:46 +01:00
Marco De Lucia
0dc9352459 Updated README - domain change, litephreeqc 2025-11-14 15:28:25 +01:00
Max Lübke
9cd487cc15 Merge branch 'mdl/litephreeqc' into 'main'
Chore: New URL and name for litephreeqc in .gitmodules

See merge request naaice/poet!58
2025-11-13 16:45:53 +01:00
Max Lübke
04ac4b8b7b ci(gitlab): allow mirror push job to fail 2025-11-13 16:39:06 +01:00
Max Lübke
2c813b9e24 build: set path for submodule 2025-11-13 16:35:57 +01:00
Max Lübke
1b55f5e651 chore: use git mv to set new path for litephreeqc 2025-11-13 16:31:47 +01:00
Max Lübke
746ae15645 chore: rollback submodule path 2025-11-13 16:30:55 +01:00
Marco De Lucia
9066ae942b Chore: New URL and name for litephreeqc in .gitmodules 2025-11-13 16:22:21 +01:00
Marco De Lucia
22f5f6f21d chore: add CITATIONS.cff 2025-10-24 11:29:57 +02:00
Marco De Lucia
cbe0712766 Merge branch '19-cmake-requirements-missmatch-with-tug' into 'main'
Resolve "CMake requirements missmatch with TUG."

Closes #19

See merge request naaice/poet!57
2025-10-24 10:33:41 +02:00
Max Lübke
21c606f5b5 docs(license): add SPDX identifier to source files 2025-10-24 09:41:25 +02:00
Max Lübke
c8bedaac28 refactor(diffusion): integrate tug::Diffusion solver 2025-10-24 09:41:03 +02:00
Max Lübke
5f2b0cc942 build(deps): update cli11 to v2.5.0 2025-10-24 09:38:26 +02:00
Max Lübke
0d307c790f build(deps): update minimum CMake to 3.20 and tug submodule 2025-10-24 09:38:05 +02:00
Max Lübke
fb1f053055 Merge branch 'ml/mirror-to-github' into 'main'
ci(github): add job to push to GitHub remote

See merge request naaice/poet!56
2025-10-15 09:58:35 +02:00
Max Lübke
86a683f07c ci(github): add job to push to GitHub remote 2025-10-15 09:57:05 +02:00
Max Lübke
490a28903b Merge branch 'chore' into 'main'
chore: update iphreeqc submodule

See merge request naaice/poet!54
2025-09-23 12:21:14 +02:00
Max Lübke
0317ddbf8f chore: update iphreeqc submodule 2025-09-23 12:19:45 +02:00
Max Lübke
92d6044e97 Merge branch 'ml/add-build-type-to-readme' into 'main'
Add CMake Build Type to Readme

See merge request naaice/poet!53
2025-05-20 14:29:00 +02:00
Max Lübke
77ccd11220 Add CMake Build Type to Readme 2025-05-20 14:28:45 +02:00
Marco De Lucia
ccd54aaa09 Merge branch '17-new-barite-benchmarks-for-fgcs-journal' into 'main'
Resolve "New barite benchmarks for FGCS journal"

Closes #17

See merge request naaice/poet!44
2025-05-19 12:50:30 +02:00
Max Lübke
66d908b548 fix: Correct boolean conversion in DHT hook call 2025-03-12 10:35:23 +01:00
Hannes Martin Signer
a4bf2a13f9 Merge branch 'ml/add-tug-solver-option' into 'main'
Add option to toggle tug numerical solver approach

See merge request naaice/poet!50
2025-01-29 16:17:52 +01:00
Max Luebke
85e93955bc Add option to toggle tug numerical solver approach 2025-01-29 15:53:32 +01:00
Max Lübke
5a7779e8de refactor: clean up CMakeLists.txt by removing unnecessary target_sources indentation 2025-01-09 12:18:13 +01:00
Max Lübke
bcab85c331 feat: add index tracking and flushing functionality to DHT 2025-01-09 12:18:05 +01:00
Max Lübke
dffbec674c Merge branch '17-new-barite-benchmarks-for-fgcs-journal' of git.gfz-potsdam.de:naaice/poet into 17-new-barite-benchmarks-for-fgcs-journal 2024-12-20 10:12:51 +01:00
Max Lübke
2df3f9f34a [wip] add input validation for work_package in DHT_Wrapper and InterpolationModule 2024-12-20 10:12:19 +01:00
Max Lübke
cefea926cf fix: update grid dimensions and refine species definitions in barite_fgcs_2.R 2024-12-20 10:08:07 +01:00
Marco De Lucia
b93cdeed83 Fancier benchmark for fgcs paper 2024-12-20 10:08:07 +01:00
Max Lübke
8b7e3e983e Merge branch 'hotfix-qs-option' into 'main'
fix: remove duplicate flag for saving output as .qs file in parseInitValues

See merge request naaice/poet!49
2024-12-20 10:07:21 +01:00
Max Lübke
a14095622f fix: remove duplicate flag for saving output as .qs file in parseInitValues 2024-12-20 10:05:49 +01:00
Marco De Lucia
554d501ed0 Fancier benchmark for fgcs paper 2024-12-20 09:24:19 +01:00
Max Lübke
ab01dbc0a7 Merge branch 'ml/fix-interpolation' into 'main'
Fix Interpolation and add optional features to POET benchmark description

See merge request naaice/poet!48
2024-12-20 09:23:44 +01:00
Max Lübke
eb384b48c0 Merge branch 'main' into 'ml/fix-interpolation'
# Conflicts:
#   src/initializer.cpp
#   src/poet.cpp
#   src/poet.hpp.in
2024-12-20 09:22:55 +01:00
Max Lübke
e34c2ef464 fix: initialize default values for RuntimeParameters in poet.hpp.in 2024-12-20 09:21:18 +01:00
Max Lübke
d5a70a20bb fix: update dht_species values for barite and celestite in benchmark scripts 2024-12-20 09:21:18 +01:00
Max Lübke
a718c3efaf Revert "feat: make output of H(0) and O(0) optional"
This reverts commit bdb5ce944fd001cb36c8369d8c792f2f4a54c7be.
2024-12-20 09:21:18 +01:00
Max Lübke
5664153cf9 fix: handle zero distance case in inverseDistanceWeighting to prevent division by zero 2024-12-20 09:21:18 +01:00
Max Lübke
6ab404eefd feat: add with_h0_o0 and with_redox parameters to ChemistryModule and related classes 2024-12-20 09:21:18 +01:00
Max Luebke
e5588a2ee9 feat: add support for redox in PhreeqcMatrix initialization 2024-12-20 09:21:18 +01:00
Max Lübke
6fb226887e feat: enhance LookupKey with const isnan method and comparison operator 2024-12-20 09:21:18 +01:00
Max Lübke
521937a527 refactor: streamline WorkPackage constructor and improve DHT_Wrapper::fillDHT logic 2024-12-20 09:21:17 +01:00
Max Luebke
d661da13bd feat: add dht_snaps and dht_out_dir parameters to ChemistryModule and main function 2024-12-20 09:21:17 +01:00
Max Luebke
06728bc28b fix: initialize includeH0O0 to false in command line options 2024-12-20 09:21:17 +01:00
Max Luebke
c5b0ae201c feat: make output of H(0) and O(0) optional 2024-12-20 09:21:17 +01:00
Max Lübke
ac96f24a33 feat: add has_het_ids parameter to DHT initialization and related functions 2024-12-20 09:21:17 +01:00
Max Lübke
9b9fd898b7 fix: use const reference for to_calc in InterpolationModule to improve performance 2024-12-20 09:21:17 +01:00
Max Lübke
536ebdd351 fix: remove double initialization of dht_enabled in ChemistryModule 2024-12-20 09:21:17 +01:00
Max Lübke
f6b4ce017a feat: implement caching for interpolation calculations and add NaN handling 2024-12-20 09:21:16 +01:00
Max Luebke
43d2a846c7 [wip] fix: add base_totals to SurrogateSetup 2024-12-20 09:21:16 +01:00
Marco De Lucia
dd9cc5e59f reverting <format> since gcc < 13 does not support it 2024-12-20 09:21:16 +01:00
Marco De Lucia
2e3de84a90 Update references to .qs2 in README 2024-12-20 09:21:16 +01:00
Marco De Lucia
3b47b8ac1f Update README: qs2 as default output format, gfz.de everywhere 2024-12-20 09:21:16 +01:00
Marco De Lucia
0437670e05 Less and more informative stdout messages 2024-12-20 09:21:16 +01:00
Marco De Lucia
9f89edd492 Added qs2 as new default format 2024-12-20 09:21:15 +01:00
Max Lübke
347b60c3f3 Merge branch 'ml/gitlab-ci' into 'main'
Refactor CI pipeline by removing the build stage and adjusting test job dependencies

See merge request naaice/poet!47
2024-12-20 09:06:18 +01:00
Max Lübke
c36fe346b3 Refactor CI pipeline by removing the build stage and adjusting test job dependencies 2024-12-20 09:04:30 +01:00
Max Lübke
f4f4ea2be2 Merge branch 'ml/fix-license' into 'main'
Revert "No code changes made."

See merge request naaice/poet!46
2024-12-20 09:00:27 +01:00
Max Lübke
60c4a15c9f Update LICENSE to include updated copyright notice and additional guidelines for program distribution 2024-12-20 08:58:40 +01:00
Max Lübke
0c22f17df7 Revert "No code changes made."
This reverts commit f60b7cf7fcb33e9ff55e1c8050775217d9d37f1a.
2024-12-20 08:57:51 +01:00
Max Lübke
824442b315 Merge branch 'ml/fix-license' into 'main'
Fix license parsing error of GitLab?

See merge request naaice/poet!45
2024-12-20 08:55:43 +01:00
Max Lübke
f60b7cf7fc No code changes made. 2024-12-20 08:46:51 +01:00
Max Lübke
d121585894 Merge branch 'mdl/fgcsbench' into 'main'
Mdl/fgcsbench

See merge request naaice/poet!43
2024-12-13 12:19:57 +01:00
Marco De Lucia
03385d3caf reverting <format> since gcc < 13 does not support it 2024-12-13 12:14:55 +01:00
Marco De Lucia
2478518d73 Update references to .qs2 in README 2024-12-13 12:14:55 +01:00
Marco De Lucia
9a787b793b Update README: qs2 as default output format, gfz.de everywhere 2024-12-13 12:14:55 +01:00
Marco De Lucia
a519edd102 Less and more informative stdout messages 2024-12-13 12:14:55 +01:00
Marco De Lucia
61d3a8a227 Added qs2 as new default format 2024-12-13 12:14:55 +01:00
Hannes Martin Signer
b29be5fd6d Merge branch 'update-scheme' into 'main'
update poet scheme

See merge request naaice/poet!42
2024-12-10 15:03:54 +01:00
Hannes Martin Signer
b19cdef894 Update 2 files
- /docs/POET_scheme.svg
- /docs/POET.drawio
2024-12-10 15:02:45 +01:00
Max Lübke
b67c1fd36d Merge branch 'update-poet-scheme' into 'main'
update POET scheme

See merge request naaice/poet!41
2024-12-10 11:15:48 +01:00
Hannes Martin Signer
2dba14d3bd update POET scheme 2024-12-10 11:14:01 +01:00
Max Lübke
5c92a2156f Merge branch 'ml/iphreeqc-v0.3' into 'main'
Update IPhreeqc Submodule to v0.3

See merge request naaice/poet!40
2024-12-04 11:35:27 +01:00
Max Lübke
6c660557fd refactor: Replace PhreeqcEngine instances with PhreeqcRunner for improved chemistry processing 2024-12-04 10:34:13 +00:00
Max Lübke
db7a2ad2ce build: Enhance Dockerfile for improved environment setup and dependency management 2024-12-04 08:44:55 +00:00
Max Lübke
0d9162fb66 Merge branch 'ml/misc' into 'main'
Various changes to build files (CMake & devcontainer)

See merge request naaice/poet!38
2024-11-07 20:57:45 +01:00
Max Lübke
716454e115 build: Update Dockerfile and devcontainer.json for enhanced environment setup 2024-11-07 19:56:04 +00:00
Max Lübke
287eda880a build: Refactor R runtime detection in CMake to ensure required parameters are set 2024-11-07 19:56:04 +00:00
Max Lübke
66098aab40 Merge branch 'ml/new-iphreeqc-api' into 'main'
Update to IPhreeqc v3.8.2

See merge request naaice/poet!37
2024-11-07 14:23:58 +01:00
Max Lübke
cdbf344329 fix: Update getSolutionNames call to remove unnecessary argument 2024-11-07 14:22:58 +01:00
Max Lübke
45ea77ae0f Update subproject commit in ext/iphreeqc 2024-11-07 14:22:51 +01:00
Marco De Lucia
eec7123001 Merge branch 'delucia-readme-patch-68839' into 'main'
Fix: README.md

See merge request naaice/poet!36
2024-09-26 11:47:46 +02:00
Marco De Lucia
6316c43094 Update README.md 2024-09-26 11:45:07 +02:00
Marco De Lucia
54b54efa0f Merge branch 'mdl/qs-rebased' into 'main'
rebased mdl/enable-qs to merge with main

See merge request naaice/poet!34
2024-09-16 13:07:43 +02:00
Max Luebke
c0fe7d2a4e fix: Corrected log10 calculation in master_iteration_end function 2024-09-16 12:05:19 +02:00
Max Luebke
0f6ff06c4a feat: use CLI11 as argument parser
feat: improve poet_initializer
2024-09-16 11:57:00 +02:00
Marco De Lucia
1e14ba6d69 fixed damn source_R 2024-09-12 16:15:21 +02:00
Marco De Lucia
91cf9658d2 cosmetic fixes in DiffusionInit.cpp 2024-09-12 14:57:11 +02:00
Marco De Lucia
deb3d1884d fix: removed Time-stamp lines from README and CMake/ 2024-09-12 14:56:42 +02:00
Marco De Lucia
63a4918313 fix: removed all Time-stamp lines from src/ 2024-09-12 14:56:09 +02:00
Marco De Lucia
492172c26f fixing stuff and adding comments 2024-09-12 14:54:05 +02:00
Marco De Lucia
fc7a78be54 Fixes in README and poet.cpp 2024-09-12 14:53:58 +02:00
Marco De Lucia
25937ec5fd Update README.md 2024-09-12 14:51:44 +02:00
Max Lübke
962f6dbbdd refactor: Rework deferred R function evaluation
applied commit
fix: Unique pointer behaviour of `global_rt_setup` was messed up
2024-09-12 14:48:05 +02:00
Marco De Lucia
ddf8e97ebe fixed initializer. Format is given by extension in the -o argument 2024-09-12 14:42:59 +02:00
Marco De Lucia
1b9906ddbf feat: fast serialization/storage using qs package via --qs flag
rebasing/merging
2024-09-12 14:42:24 +02:00
Marco De Lucia
9090d38f17 cosmetic fixes in DiffusionInit.cpp 2024-09-12 12:37:49 +02:00
Marco De Lucia
fc98253988 fix: removed Time-stamp lines from README and CMake/
Solve conflict
2024-09-12 12:37:28 +02:00
Marco De Lucia
80fc755ceb fix: removed all Time-stamp lines from src/ 2024-09-12 12:36:40 +02:00
Marco De Lucia
23d0ee51d8 fixing stuff and adding comments 2024-09-12 12:36:40 +02:00
Marco De Lucia
99f2cb5ca0 Switched default bench init storage to qs 2024-09-12 12:36:40 +02:00
Marco De Lucia
04958194c4 Fixing rebase conflicts 2024-09-12 12:36:11 +02:00
Marco De Lucia
71b519f7ef Update README.md 2024-09-12 11:40:03 +02:00
Max Lübke
9122e51980 refactor: Rework deferred R function evaluation
fix: Unique pointer behaviour of `global_rt_setup` was messed up
2024-09-12 11:40:03 +02:00
Marco De Lucia
fec92ad3d3 fixed initializer. Format is given by extension in the -o argument 2024-09-12 11:40:03 +02:00
Marco De Lucia
8d0be5ae0d feat: fast serialization/storage using qs package via --qs flag 2024-09-12 11:39:44 +02:00
Max Lübke
edf936f3d0 Merge branch 'ml/chore' into 'main'
chore: Update README and cleanup

See merge request naaice/poet!33
2024-08-29 14:26:13 +02:00
Max Lübke
c139c4626f chore: remove preprocessed file from project structure 2024-08-29 14:25:37 +02:00
Max Lübke
341f850764 chore: Remove unnecessary code in FindRRuntime.cmake 2024-08-29 14:25:37 +02:00
Max Lübke
dcd07e4e92 doc: Update R package installation process for AI surrogate 2024-08-29 14:25:37 +02:00
Max Lübke
29808025d8 Merge branch 'ml/fix-dht' into 'main'
fix: Error during DHT usage

See merge request naaice/poet!32
2024-08-29 08:47:45 +02:00
Max Lübke
45bd7acbe1 Update subproject commit reference 2024-08-29 08:35:17 +02:00
Max Lübke
cc943371a1 fix: distribute species names across all processes 2024-08-29 08:35:11 +02:00
hans
a65f4992ae Fix: merge issues 2024-06-05 16:43:33 +02:00
hans
31da6843b4 Merge branch 'ai-surrogate-v03-temp' into ai_surrogate_merge 2024-06-05 16:02:30 +02:00
hans
742ac96406 Merge branch 'origin/ai-surrogate-v03-temp-mdl' into ai_surrogate_merge 2024-06-05 15:59:00 +02:00
hans
dcfe2c58db fix: reserve vs resize in Worker 2024-06-05 15:54:19 +02:00
hans
562026a12a fix: wp_start_index in Worker 2024-05-31 11:45:19 +02:00
hans
bea250cc88 fix: wp_start_index in Worker 2024-05-31 11:26:50 +02:00
Marco De Lucia
b75b37e0f8 MDL: AI model seems correctly updated/stored 2024-05-30 13:37:28 +02:00
hans
25df2df5b3 docs: updated graphic 2024-05-30 13:30:43 +02:00
hans
7201506e73 docs: updated graphic 2024-05-30 13:30:10 +02:00
hans
cafefe2ba5 docs: updated graphic 2024-05-30 13:28:48 +02:00
Hans Straile
545a269c75 Update 0230720_Scheme_POET_en.svg 2024-05-30 13:25:15 +02:00
hans
f8864d991a docs: updated docs for v03 2024-05-30 13:20:50 +02:00
Marco De Lucia
ce4ab918e9 MDL: added barite_50ai bench 2024-05-30 11:37:31 +02:00
Marco De Lucia
69ebc516ba MDL: some fixes and some more output to make AI run 2024-05-30 11:32:08 +02:00
hans
53b9479cad feat: Add AI Surrogate functions to V.03 2024-05-27 15:22:29 +02:00
hans
95cb95998e feat: Add AI Surrogate functions to V.03 2024-05-27 09:09:01 +02:00
Max Lübke
f5f2cb4b9c Merge branch 'ml/fix-chemistry' into 'main'
Fix chemistry

See merge request naaice/poet!30
2024-05-07 12:30:13 +02:00
Max Lübke
e79881d9c5 chore: Update subproject commit in ext/iphreeqc 2024-05-07 09:52:31 +00:00
Max Lübke
44775ea018 fix: Correct logic for updating output values in WorkerRunWorkPackage 2024-05-07 08:34:18 +00:00
Max Lübke
4da95e385b Merge branch 'ml/build' into 'main'
Update CMakeLists.txt to conditionally add the bench subdirectory based on the...

See merge request naaice/poet!29
2024-05-06 13:27:27 +02:00
Max Lübke
d399ca8190 Update CMakeLists.txt to conditionally add the bench subdirectory based on the POET_PREPROCESS_BENCHS option 2024-05-06 11:26:13 +00:00
Max Lübke
22458b41f4 Merge branch 'ml/ci' into 'main'
Refactor CI/CD pipeline

See merge request naaice/poet!28
2024-05-06 13:17:40 +02:00
Max Lübke
aec3d8f63a Refactor CI/CD pipeline 2024-05-06 13:17:39 +02:00
Max Lübke
74bafca4b8 Merge branch 'ml/surfex' into 'main'
Enable Surfex/Exchange reactants using IPhreeqc/POET API

See merge request naaice/poet!27
2024-05-06 12:11:50 +02:00
Max Lübke
2e265443b9 Update Readme 2024-05-06 10:09:28 +00:00
Max Lübke
20a0c453b0 Add EGU debug model 2024-05-06 10:09:28 +00:00
Max Lübke
480dd146f4 BREAKING CHANGE: Enable Surface/Exchange using new API of PhreeqcEngine 2024-05-06 10:01:57 +00:00
Max Luebke
d7c23c6b3c Fix build process to only produce benchmarks when needed 2024-04-15 09:10:11 +00:00
Max Lübke
e11caba0b3 Fix grid size assignment in GridInit.cpp 2024-04-12 12:35:43 +00:00
Max Lübke
6d36dd7a2e Refactor R_lib/kin_r_library.R to use setup$maxiter instead of iter for calculating max digits 2024-04-10 10:24:00 +00:00
Max Lübke
7ee438b667 Remove doctest submodule 2024-04-10 10:24:00 +00:00
Max Lübke
f4661a591c Fix diffusion and chem field update order in RunMasterLoop 2024-04-10 10:24:00 +00:00
Max Lübke
103b26a097 Refactor process to output as DataFrames 2024-04-10 10:24:00 +00:00
Max Lübke
f2c5caf307 Refactor R package dependencies in Dockerfile 2024-04-09 08:09:47 +00:00
Max Luebke
e27ce205fb Add minimal flag to importList function in InitialList 2024-04-08 20:47:38 +00:00
Max Luebke
8856825c23 Refactor Field.cpp to use Rcpp DataFrame for conversion to SEXP 2024-04-08 20:31:36 +00:00
Max Luebke
c42b335aae Refactor build file generation 2024-04-08 20:31:36 +00:00
Max Luebke
a2f04836a4 Refactor benchmark files to current POET input expectations 2024-04-08 20:31:36 +00:00
Max Luebke
7febb31bf9 Refactor command line argument handling and improve script sourcing in initializer.cpp 2024-04-08 12:49:58 +00:00
Max Luebke
c9ff062514 Refactor initializer.cpp to handle command line arguments and improve script sourcing 2024-04-08 12:02:47 +00:00
Max Luebke
62e734e0d5 Refactor code for grid creation and result storage 2024-04-08 11:27:06 +00:00
Max Luebke
3ea3412516 Fix inner_boundaries handling in DiffusionModule and InitialList 2024-04-08 10:32:00 +00:00
Max Luebke
8d64c83123 Update minimum required CMake version to 3.14 2024-04-08 10:31:47 +00:00
Max Luebke
fa916cc66e Refactor code according to static analyzers 2024-04-08 09:19:48 +00:00
Max Luebke
e6092c9166 Add dolo_inner benchmark 2024-04-05 08:34:41 +00:00
Max Luebke
a24b4f5f51 Move old benchmark files into old subdir
Move new benchmark files from `het` folder
2024-04-05 08:33:26 +00:00
Max Luebke
5cc161e25e Add inner_boundaries handling in DiffusionModule and InitialList 2024-04-05 08:31:32 +00:00
Max Luebke
35049e1a77 Update .gitignore to ignore .codechecker directory 2024-04-05 07:05:09 +00:00
Max Luebke
6a88de5c5d Refactor code for grid creation and result storage 2024-04-04 09:27:52 +00:00
Max Luebke
d07cfd3465 Add functions for checking sign and negativity in dol.pqi and dolo_200.R 2024-04-04 09:27:27 +00:00
Max Luebke
004977b2ea Add file extension replacement and print output filename 2024-04-03 21:19:39 +00:00
Max Luebke
0a00ea86e6 Update Dockerfile with required dependencies and install R packages 2024-04-03 21:03:16 +00:00
Max Luebke
5ce40617b8 Refactor R functions and how they are called 2024-04-03 21:03:10 +00:00
Max Lübke
2b6f17f18c Update iterations and dt values in dolo_200_rt.R 2024-04-03 16:46:50 +02:00
Max Luebke
33f3368d6e Add parallel grid creation function and update pqc_to_grid function 2024-04-03 14:25:04 +00:00
Max Luebke
24b2ed5b46 Fix initialization of transport_names in ChemistryInit and GridInit 2024-04-03 14:25:04 +00:00
Max Luebke
9976538c11 Update solution parameters in dol.pqi 2024-04-03 14:25:04 +00:00
Max Luebke
38053fd4d0 Add support for missing species in init grid, which are injected (by boundary condition) 2024-04-03 14:25:04 +00:00
Max Luebke
57aaff4d69 Update iphreeqc subproject commit 2024-04-03 10:47:33 +00:00
Max Luebke
ffd076047d Update chem.GetField() to chem.getField() in poet.cpp 2024-04-03 10:47:32 +00:00
Max Luebke
41b811f048 Update runtime and test scripts 2024-04-03 10:46:54 +00:00
Max Lübke
7aea66387a Update units in dol.pqi 2024-04-03 10:59:31 +02:00
Max Lübke
f2e0942737 Update GIT_SUBMODULE_STRATEGY in .gitlab-ci.yml 2024-04-03 10:10:02 +02:00
Max Lübke
13b6cf6549 Update Calcite and Dolomite parameters in dol.pqi 2024-04-03 10:08:37 +02:00
Max Lübke
4468945dec Update out_save in dolo_200_rt.R 2024-04-03 10:08:02 +02:00
Max Luebke
8da05bcf4a Refactor to wrap everything in main function into scope, to ensure DHT is freed before MPI_FInalize 2024-04-02 20:47:32 +00:00
Max Luebke
ebfa47a494 Remove SimParams class 2024-04-02 20:38:23 +00:00
Max Luebke
246fbf4434 Add check_sign_cal_dol_dht and fuzz_input_dht_keys functions 2024-04-02 20:35:28 +00:00
Max Luebke
04ce6d35d6 Refactor WorkerRunWorkPackage to copy input instead of overwriting 2024-04-02 20:24:04 +00:00
Max Luebke
5972afe12f Refactor chemistry module and RHookFunction 2024-04-02 20:23:42 +00:00
Max Luebke
658fe00bc9 Update iteration end message in kin_r_library.R 2024-04-02 14:37:20 +00:00
Max Luebke
a9a798dd4a Add profiling data for DHT and interpolation 2024-04-02 14:17:59 +00:00
Max Luebke
c667bee7d8 Add DHT functionality, still need to be validated 2024-04-02 14:14:19 +00:00
Max Luebke
b229377adb Add chemistry initialization to InitialList class 2024-04-02 12:06:55 +00:00
Max Luebke
14b111662d Add dolo_200_rt.R, dol.pqi, and dolo_200.R files for simulation setup 2024-04-02 11:41:38 +00:00
Max Luebke
1353460c11 Update dependencies and refactor code 2024-04-02 11:41:38 +00:00
Max Luebke
76b83db4bc Remove doctest submodule and update gitmodules 2024-04-02 10:33:56 +00:00
Max Luebke
af840e756e Update CMakeLists.txt and include headers in test files 2024-04-02 09:25:18 +00:00
Max Luebke
a2dc30962f Remove unnecessary includes and update function signature 2024-04-02 09:16:58 +00:00
Max Lübke
2c51cd90ef Update dependencies and refactor code 2024-03-28 14:23:20 +00:00
Max Lübke
0bfc95bb52 Add Basic heterogeneous diffusion functionality 2024-03-27 20:34:48 +00:00
Max Luebke
a04344e435 Add total_grid_cells to ChemistryInit struct 2024-03-21 22:33:40 +00:00
Max Lübke
4fc0d5547b Add support for importing and exporting initial grid in InitialList class 2024-03-21 21:36:09 +00:00
Max Lübke
7d4c14c356 Add Init/CMakeLists.txt and ChemistryInit.cpp files, and update initializer.cpp and InitialList.hpp 2024-03-20 23:46:57 +00:00
Max Lübke
2797351057 Update include statement and add CMakeLists.txt for DataStructures 2024-03-20 22:33:23 +00:00
Max Luebke
8cd69bcde4 Update grid and diffusion setup in test.R 2024-03-19 22:03:22 +00:00
Max Lübke
793c2bb4ff Add resolvePqcBound function and refactor parseBoundaries2D function 2024-03-19 15:37:29 +00:00
Max Lübke
ebfa10c236 Update alpha matrix parsing 2024-03-19 14:07:25 +00:00
Max Lübke
badb01b4fe Refactor initialization code for diffusion and grid 2024-03-19 13:39:59 +00:00
Max Lübke
d77aad7d2e Add file reading functionality and update script and database handling 2024-03-19 13:11:42 +00:00
Max Lübke
8328fd1390 Refactor grid initialization and update member access in InitialList 2024-03-19 12:32:16 +00:00
Max Lübke
8d6aafbec4 Update getModuleSizes function to use new API 2024-03-19 09:48:31 +00:00
Max Lübke
c9cf6c92e7 Refactor pqc_to_grid function to use matrix instead of data.table 2024-03-19 09:47:40 +00:00
Max Luebke
60c3d7b022 Save latest changes, boundaries still missing or incomplete 2024-03-19 08:12:20 +00:00
Max Luebke
9990c12de4 Add modify_module_sizes function and modify module_sizes in InitialList class 2024-03-13 23:50:13 +01:00
Max Luebke
e102550835 Update function name to replaceRawKeywordIDs in GridInit.cpp 2024-03-13 22:06:07 +01:00
Max Luebke
eaf4b2b712 Update RAW Keywords to always refer to ID 1 2024-03-13 22:05:06 +01:00
Max Luebke
31d09ecc27 Update CMakeLists.txt and add new files for barite_het simulation 2024-03-13 17:11:53 +01:00
Max Luebke
5357bdf975 Remove installation of poet binary 2024-03-13 16:58:37 +01:00
Max Luebke
bcabe5bcc4 Add iphreeqc and init_r_lib submodules, and make necessary changes to CMakeLists.txt and src/initializer.cpp 2024-03-13 16:57:44 +01:00
Max Lübke
24b0607e94 Add apps directory and initializer application 2024-03-07 13:54:53 +00:00
Max Lübke
bec496e0fb Merge branch 'v0.x' into 'main'
Fix path in GitLab CI

See merge request naaice/poet!25
2024-03-07 14:43:03 +01:00
Max Lübke
a6063776ea Fix path in GitLab CI script 2024-03-07 13:41:50 +00:00
Max Lübke
29018afa13 Update dependencies in ci.Dockerfile 2024-03-07 13:41:34 +00:00
Max Lübke
575739c4bd Merge branch 'v0.x' into 'main'
CI fixes

See merge request naaice/poet!24
2024-03-07 14:40:15 +01:00
Max Lübke
5c44146633 Fix build of pages 2024-03-07 13:39:27 +00:00
Max Lübke
912c083353 Add Dockerfile for CI environment 2024-03-07 13:39:14 +00:00
Max Lübke
606dc0ce1f Merge branch 'v0.x' into 'main'
Preparation for EuroPar24 contribution

See merge request naaice/poet!23
2024-03-06 14:37:39 +01:00
Max Lübke
e6e159517d Merge remote-tracking branch 'origin/main' into v0.x 2024-03-06 13:36:36 +00:00
Max Lübke
1b0d2c92fe Update doxygen configuration 2024-03-06 12:25:30 +00:00
Max Lübke
17bc121d7c Add Dockerfile and devcontainer.json for VS Code development environment 2024-03-06 12:25:17 +00:00
Max Lübke
e74805370e Remove R_lib subdirectory from CMakeLists.txt 2024-03-06 12:24:07 +00:00
Max Lübke
408aac4588 Merge branch 'include_scripts' into 'v0.x'
Add R library file as string to executable

See merge request naaice/poet!21
2024-03-06 12:34:49 +01:00
Max Lübke
06c63a125b Add R library file as string to executable 2024-03-06 12:34:02 +01:00
Max Lübke
bfe4d0d751 Merge branch 'restructure' into 'v0.x'
Refactor build process

See merge request naaice/poet!20
2024-03-06 12:03:49 +01:00
Max Lübke
f1f56494f9 Remove unused CMakeLists.txt file for SurrogateModels 2024-03-06 12:03:02 +01:00
Max Lübke
58435a94d6 Add OMPI_SKIP_MPICXX to target_compile_definitions in CMakeLists.txt 2024-03-06 12:01:19 +01:00
Max Lübke
5ddc239499 Update CMakeLists.txt and include headers in test files 2024-03-06 11:59:18 +01:00
Max Lübke
a17f40d31c Add Macros.hpp and RInsidePOET.hpp***
***Add RInsidePOET class and RHookFunction template***
***Update include paths in SimParams.hpp***
***Update CMakeLists.txt to link poetlib***
***Update DHT_Wrapper.hpp include path***
***Update DiffusionModule.cpp include path***
***Update poet.cpp include paths***
***Add poet.hpp.in
2024-03-06 11:59:12 +01:00
Max Lübke
547156b017 Remove unused 'app' directory 2024-03-06 11:32:45 +01:00
Max Lübke
599088d964 Refactor build process
Now include/app paths are combined in the src dir.
2024-03-06 11:26:52 +01:00
Max Lübke
42e740beb9 Fix broken Dolo large benchmark
Update surfex to a larger grid size
2024-03-01 12:57:42 +01:00
Max Lübke
19429516a9 Update initial and boundary conditions for dolo large model 2024-02-26 12:34:42 +01:00
Max Lübke
c685ff536e Add .vscode to .gitignore 2024-02-22 09:47:05 +01:00
Marco De Lucia
3f89321e71 fix: updated bench/barite/{barite.R, barite_interp_eval.R}, added bench/barite/barite_200.R 2024-01-12 12:50:54 +01:00
Max Lübke
2204f0f793 Update file dolo_interp_long.R 2023-11-21 16:25:50 +01:00
Max Lübke
d0e3a5fbe0 docs: improve main SVG 2023-11-01 11:01:38 +01:00
Max Lübke
6bd37ccb5e feat: instead of always storing exact input and output make it dependent
on the usage of interpolation
2023-11-01 10:55:46 +01:00
Max Lübke
616e7ad5f7 Merge branch 'remove-prop-type' into 'main'
refactor: remove DHT prop type from input script

See merge request naaice/poet!17
2023-07-21 17:25:12 +02:00
Max Luebke
f4330adeb7 refactor: remove DHT prop type from input script 2023-07-21 17:24:25 +02:00
130 changed files with 6451 additions and 6069 deletions

108
.devcontainer/Dockerfile Normal file
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@ -0,0 +1,108 @@
FROM gcc:11.2.0 AS builder
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get update \
&& apt-get install -y \
sudo \
git \
ninja-build \
libmpfr-dev \
python3-dev && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
WORKDIR /tmp
ARG OPENMPI_VERSION=4.1.1
ADD https://download.open-mpi.org/release/open-mpi/v${OPENMPI_VERSION%.*}/openmpi-${OPENMPI_VERSION}.tar.gz /tmp/openmpi.tar.gz
RUN mkdir openmpi && \
tar xf openmpi.tar.gz -C openmpi --strip-components 1 && \
cd openmpi && \
./configure --prefix=/usr/local && \
make -j $(nproc) && \
make install && \
rm -rf /tmp/openmpi tmp/openmpi.tar.gz
ARG CMAKE_VERSION=3.30.5
ADD https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}-linux-x86_64.sh /tmp/cmake.sh
RUN bash ./cmake.sh --skip-license --prefix=/usr/local \
&& rm cmake.sh
ARG LAPACK_VERSION=3.12.0
ADD https://github.com/Reference-LAPACK/lapack/archive/refs/tags/v${LAPACK_VERSION}.tar.gz /tmp/lapack.tar.gz
RUN mkdir lapack && \
tar xf lapack.tar.gz -C lapack --strip-components 1 && \
cd lapack && \
mkdir build && \
cd build && \
cmake .. -G Ninja -DBUILD_SHARED_LIBS=ON && \
ninja install && \
rm -rf /tmp/lapack tmp/lapack.tar.gz
ARG R_VERSION=4.4.2
ADD https://cran.r-project.org/src/base/R-${R_VERSION%%.*}/R-${R_VERSION}.tar.gz /tmp/R.tar.gz
RUN mkdir R && \
tar xf R.tar.gz -C R --strip-components 1 && \
cd R && \
./configure --prefix=/usr/local --enable-R-shlib --with-blas --with-lapack && \
make -j $(nproc) && \
make install && \
rm -rf /tmp/R tmp/R.tar.gz
RUN /usr/local/bin/R -q -e "install.packages(c('Rcpp', 'RInside', 'qs'), repos='https://cran.rstudio.com/')"
ARG EIGEN_VERSION=3.4.0
ADD https://gitlab.com/libeigen/eigen/-/archive/${EIGEN_VERSION}/eigen-${EIGEN_VERSION}.tar.bz2 /tmp/eigen.tar.bz2
RUN mkdir eigen && \
tar xf eigen.tar.bz2 -C eigen --strip-components 1 && \
cd eigen && \
mkdir build && \
cd build && \
cmake .. -G Ninja && \
ninja install && \
rm -rf /tmp/eigen tmp/eigen.tar.bz2
ARG GDB_VERSION=15.2
ADD https://ftp.gnu.org/gnu/gdb/gdb-${GDB_VERSION}.tar.xz /tmp/gdb.tar.xz
RUN mkdir gdb && \
tar xf gdb.tar.xz -C gdb --strip-components 1 && \
cd gdb && \
./configure --prefix=/usr/local && \
make -j $(nproc) && \
make install && \
rm -rf /tmp/gdb tmp/gdb.tar.xz
RUN useradd -m -s /bin/bash -G sudo vscode \
&& echo "vscode ALL=(ALL) NOPASSWD:ALL" >> /etc/sudoers
USER vscode
ENV LD_LIBRARY_PATH=/usr/local/lib:$LD_LIBRARY_PATH
RUN sudo apt-get update && \
sudo apt-get install -y zsh && \
sudo apt-get clean && \
sudo rm -rf /var/lib/apt/lists/*
RUN sh -c "$(wget -O- https://github.com/deluan/zsh-in-docker/releases/download/v1.2.1/zsh-in-docker.sh)" -- \
-t agnoster \
-p zsh-syntax-highlighting
RUN zsh -c "git clone https://github.com/zsh-users/zsh-syntax-highlighting.git ${ZSH_CUSTOM:-~/.oh-my-zsh/custom}/plugins/zsh-syntax-highlighting"
RUN zsh -c "git clone --depth 1 https://github.com/junegunn/fzf.git ~/.fzf && ~/.fzf/install"
RUN mkdir -p /home/vscode/.config/gdb \
&& echo "set auto-load safe-path /" > /home/vscode/.config/gdb/gdbinit
ENV CMAKE_GENERATOR=Ninja
ENV CMAKE_EXPORT_COMPILE_COMMANDS=ON
WORKDIR /home/vscode

View File

@ -0,0 +1,29 @@
// For format details, see https://aka.ms/devcontainer.json. For config options, see the
// README at: https://github.com/devcontainers/templates/tree/main/src/docker-existing-dockerfile
{
"build": {
"dockerfile": "Dockerfile"
},
// Features to add to the dev container. More info: https://containers.dev/features.
// "features": {},
// Use 'forwardPorts' to make a list of ports inside the container available locally.
// "forwardPorts": [],
// Uncomment the next line to run commands after the container is created.
// "postCreateCommand": "cat /etc/os-release",
// Configure tool-specific properties.
"customizations": {
"vscode": {
"extensions": [
"twxs.cmake",
"llvm-vs-code-extensions.vscode-clangd"
]
}
},
// in case you want to push/pull from remote repositories using ssh
"mounts": [
"source=${localEnv:HOME}/.ssh,target=/home/vscode/.ssh,type=bind,consistency=cached",
"source=${localEnv:HOME}/.gitconfig,target=/home/vscode/.gitconfig,type=bind,consistency=cached"
]
// Uncomment to connect as an existing user other than the container default. More info: https://aka.ms/dev-containers-non-root.
// "remoteUser": "devcontainer"
}

3
.gitignore vendored
View File

@ -141,3 +141,6 @@ vignettes/*.pdf
build/
/.cache/
.vscode
.codechecker

View File

@ -19,7 +19,6 @@
image: git.gfz-potsdam.de:5000/naaice/poet:ci
stages: # List of stages for jobs, and their order of execution
- build
- release
- test
@ -28,89 +27,93 @@ variables:
SOURCE_ARCHIVE_NAME: 'poet_${CI_COMMIT_TAG}_sources.tar.gz'
CHANGELOG_FILE: 'commit_changelog.md'
build-poet: # This job runs in the build stage, which runs first.
stage: build
script:
- mkdir build && cd build
- cmake -DPOET_ENABLE_TESTING=ON ..
- make -j$(nproc)
artifacts:
paths:
- build
expire_in: 1 day
test-poet:
test: # This job runs in the build stage, which runs first.
stage: test
dependencies:
- build-poet
script:
- cd build
- mkdir -p build && cd build
- cmake -DPOET_ENABLE_TESTING=ON -DPOET_PREPROCESS_BENCHS=OFF -DCMAKE_BUILD_TYPE=Release ..
- make -j$(nproc) check
archive-sources: # This job runs in the build stage, which runs first.
image: python:3
stage: release
before_script:
- pip install git-archive-all
- echo ARCHIVE_JOB_ID=${CI_JOB_ID} >> archives.env
script:
- git-archive-all ${SOURCE_ARCHIVE_NAME}
artifacts:
paths:
- ${SOURCE_ARCHIVE_NAME}
expire_in: never
reports:
dotenv: archives.env
rules:
- if: $CI_COMMIT_TAG
release-description:
image: golang:bullseye
stage: release
rules:
- if: $CI_COMMIT_TAG
before_script:
- go install github.com/git-chglog/git-chglog/cmd/git-chglog@v0.15.2
script:
- git-chglog -o ${CHANGELOG_FILE} ${CI_COMMIT_TAG}
artifacts:
paths:
- ${CHANGELOG_FILE}
release-create:
stage: release
image: registry.gitlab.com/gitlab-org/release-cli:latest
rules:
- if: $CI_COMMIT_TAG
script:
- echo "Running release job"
needs:
- job: archive-sources
artifacts: true
- job: release-description
artifacts: true
release:
tag_name: $CI_COMMIT_TAG
name: 'POET $CI_COMMIT_TAG'
description: ${CHANGELOG_FILE}
assets:
links:
- name: '${SOURCE_ARCHIVE_NAME}'
url: 'https://git.gfz-potsdam.de/naaice/poet/-/jobs/${ARCHIVE_JOB_ID}/artifacts/file/${SOURCE_ARCHIVE_NAME}'
pages:
stage: release
before_script:
- apt-get update && apt-get install -y doxygen graphviz
- mkdir {build,public}
- mkdir {build_pages,public}
script:
- pushd build
- pushd build_pages
- cmake .. && make doxygen
- popd && mv build/docs/html/* public/
- popd && mv build_pages/docs/html/* public/
artifacts:
paths:
- public
rules:
- if: $CI_COMMIT_REF_NAME == $CI_DEFAULT_BRANCH
- if: $CI_COMMIT_REF_NAME == $CI_DEFAULT_BRANCH || $CI_COMMIT_TAG
push:
stage: release
variables:
GITHUB_REPOSITORY: 'git@github.com:POET-Simulator/POET.git'
before_script:
# I know that there is this file env variable in gitlab, but somehow it does not work for me (still complaining about white spaces ...)
# Therefore, the ssh key is stored as a base64 encoded string
- mkdir -p ~/.ssh && echo $GITHUB_SSH_PRIVATE_KEY | base64 -d > ~/.ssh/id_ed25519 && chmod 0600 ~/.ssh/id_ed25519
- ssh-keyscan github.com >> ~/.ssh/known_hosts
- echo $MIRROR_SCRIPT | base64 -d > mirror.sh && chmod +x mirror.sh
script:
- if [[-d poet.git ]]; then rm -rf poet.git; fi
- git clone --mirror "https://git.gfz-potsdam.de/naaice/poet.git" "poet.git" && cd poet.git
- git push --mirror $GITHUB_REPOSITORY
allow_failure: true
#archive-sources: # This job runs in the build stage, which runs first.
# image: python:3
# stage: release
#
# before_script:
# - pip install git-archive-all
# - echo ARCHIVE_JOB_ID=${CI_JOB_ID} >> archives.env
# script:
# - git-archive-all ${SOURCE_ARCHIVE_NAME}
# artifacts:
# paths:
# - ${SOURCE_ARCHIVE_NAME}
# expire_in: never
# reports:
# dotenv: archives.env
# rules:
# - if: $CI_COMMIT_TAG
#release-description:
# image: golang:bullseye
# stage: release
# rules:
# - if: $CI_COMMIT_TAG
# before_script:
# - go install github.com/git-chglog/git-chglog/cmd/git-chglog@v0.15.2
# script:
# - git-chglog -o ${CHANGELOG_FILE} ${CI_COMMIT_TAG}
# artifacts:
# paths:
# - ${CHANGELOG_FILE}
#
#
#release-create:
# stage: release
# image: registry.gitlab.com/gitlab-org/release-cli:latest
# rules:
# - if: $CI_COMMIT_TAG
# script:
# - echo "Running release job"
# needs:
# - job: archive-sources
# artifacts: true
# - job: release-description
# artifacts: true
# release:
# tag_name: $CI_COMMIT_TAG
# name: 'POET $CI_COMMIT_TAG'
# description: ${CHANGELOG_FILE}
# assets:
# links:
# - name: '${SOURCE_ARCHIVE_NAME}'
# url: 'https://git.gfz-potsdam.de/naaice/poet/-/jobs/${ARCHIVE_JOB_ID}/artifacts/file/${SOURCE_ARCHIVE_NAME}'

9
.gitmodules vendored
View File

@ -2,9 +2,6 @@
path = ext/tug
url = ../tug.git
[submodule "ext/phreeqcrm"]
path = ext/phreeqcrm
url = ../phreeqcrm-gfz.git
[submodule "ext/doctest"]
path = ext/doctest
url = https://github.com/doctest/doctest.git
[submodule "ext/litephreeqc"]
path = ext/litephreeqc
url = ../litephreeqc.git

51
CITATION.cff Normal file
View File

@ -0,0 +1,51 @@
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: 'POET: POtsdam rEactive Transport'
message: >-
If you use this software, please cite it using these
metadata.
type: software
authors:
- given-names: Max
family-names: Lübke
email: mluebke@uni-potsdam.de
affiliation: University of Potsdam
orcid: 'https://orcid.org/0009-0008-9773-3038'
- given-names: Marco
family-names: De Lucia
email: delucia@gfz.de
affiliation: GFZ Helmholtz Centre for Geosciences
orcid: 'https://orcid.org/0000-0002-1186-4491'
- given-names: Alexander
family-names: Lindemann
- given-names: Hannes
family-names: Signer
email: signer@uni-potsdam.de
orcid: 'https://orcid.org/0009-0000-3058-8472'
- given-names: Bettina
family-names: Schnor
email: schnor@cs.uni-potsdam.de
affiliation: University of Potsdam
orcid: 'https://orcid.org/0000-0001-7369-8057'
- given-names: Hans
family-names: Straile
identifiers:
- type: doi
value: 10.5194/gmd-14-7391-2021
description: >-
POET (v0.1): speedup of many-core parallel reactive
transport simulations with fast DHT lookups
repository-code: 'https://git.gfz-potsdam.de/naaice/poet'
abstract: >-
Massively parallel reactive transport simulator exploring
acceleration strategies such as embedding of AI/ML and
cache of results in Distributed Hash Tables. Developed in
cooperation with computer scientists of University of
Potsdam.
keywords:
- Reactive Transport
- Geochemistry
- AI/ML Surrogate Modelling
license: GPL-2.0

View File

@ -1,30 +1,27 @@
# prepare R environment (Rcpp + RInside)
find_program(R_EXE "R")
find_program(R_EXE "R"
REQUIRED
)
# search for R executable, R header file and library path
if(R_EXE)
execute_process(
COMMAND ${R_EXE} RHOME
OUTPUT_VARIABLE R_ROOT_DIR
OUTPUT_STRIP_TRAILING_WHITESPACE
)
execute_process(
COMMAND ${R_EXE} RHOME
OUTPUT_VARIABLE R_ROOT_DIR
OUTPUT_STRIP_TRAILING_WHITESPACE
)
find_path(
R_INCLUDE_DIR R.h
HINTS ${R_ROOT_DIR}
PATHS /usr/include /usr/local/include /usr/share
PATH_SUFFIXES include/R R/include
)
find_path(
R_INCLUDE_DIR R.h
HINTS /usr/include /usr/local/include /usr/share ${R_ROOT_DIR}/include
PATH_SUFFIXES R/include R
REQUIRED
)
find_library(
R_LIBRARY libR.so
HINTS ${R_ROOT_DIR}/lib
)
else()
message(FATAL_ERROR "No R runtime found!")
endif()
mark_as_advanced(R_INCLUDE_DIR R_LIBRARY R_EXE)
find_library(
R_LIBRARY libR.so
HINTS ${R_ROOT_DIR}/lib
REQUIRED
)
set(R_LIBRARIES ${R_LIBRARY})
set(R_INCLUDE_DIRS ${R_INCLUDE_DIR})
@ -45,8 +42,6 @@ find_path(R_Rcpp_INCLUDE_DIR Rcpp.h
HINTS ${RCPP_PATH}
PATH_SUFFIXES include)
mark_as_advanced(R_Rcpp_INCLUDE_DIR)
list(APPEND R_INCLUDE_DIRS ${R_Rcpp_INCLUDE_DIR})
# find RInside libraries and include path
@ -72,16 +67,11 @@ find_path(R_RInside_INCLUDE_DIR RInside.h
list(APPEND R_LIBRARIES ${R_RInside_LIBRARY})
list(APPEND R_INCLUDE_DIRS ${R_RInside_INCLUDE_DIR})
mark_as_advanced(R_RInside_LIBRARY R_RInside_INCLUDE_DIR)
# putting all together into interface library
add_library(RRuntime INTERFACE IMPORTED)
set_target_properties(
RRuntime PROPERTIES
INTERFACE_LINK_LIBRARIES "${R_LIBRARIES}"
INTERFACE_INCLUDE_DIRECTORIES "${R_INCLUDE_DIRS}"
)
target_link_libraries(RRuntime INTERFACE ${R_LIBRARIES})
target_include_directories(RRuntime INTERFACE ${R_INCLUDE_DIRS})
unset(R_LIBRARIES)
unset(R_INCLUDE_DIRS)

View File

@ -13,7 +13,7 @@ macro(get_POET_version)
WORKING_DIRECTORY ${PROJECT_SOURCE_DIR}
OUTPUT_VARIABLE POET_GIT_VERSION
OUTPUT_STRIP_TRAILING_WHITESPACE)
if(NOT POET_GIT_BRANCH STREQUAL "master")
if(NOT POET_GIT_BRANCH STREQUAL "main")
set(POET_VERSION "${POET_GIT_BRANCH}/${POET_GIT_VERSION}")
else()
set(POET_VERSION "${POET_GIT_VERSION}")
@ -21,7 +21,7 @@ macro(get_POET_version)
elseif(EXISTS ${PROJECT_SOURCE_DIR}/.svn)
file(STRINGS .gitversion POET_VERSION)
else()
set(POET_VERSION "0.1")
set(POET_VERSION "not_versioned")
endif()
message(STATUS "Configuring POET version ${POET_VERSION}")

View File

@ -1,14 +1,23 @@
# Version 3.9+ offers new MPI package variables
cmake_minimum_required(VERSION 3.9)
cmake_minimum_required(VERSION 3.20)
project(POET
LANGUAGES CXX C
DESCRIPTION "A coupled reactive transport simulator")
# specify the C++ standard
set(CMAKE_CXX_STANDARD 17)
set(CMAKE_CXX_STANDARD 20)
set(CMAKE_CXX_STANDARD_REQUIRED True)
set(DEFAULT_BUILD_TYPE "Release")
if(NOT CMAKE_BUILD_TYPE)
message(STATUS "Setting build type to '${DEFAULT_BUILD_TYPE}'.")
set(CMAKE_BUILD_TYPE "${DEFAULT_BUILD_TYPE}" CACHE
STRING "Choose the type of build." FORCE)
# Set the possible values of build type for cmake-gui
set_property(CACHE CMAKE_BUILD_TYPE PROPERTY STRINGS
"Debug" "Release" "MinSizeRel" "RelWithDebInfo")
endif()
set(CMAKE_INSTALL_RPATH_USE_LINK_PATH TRUE)
include("CMake/POET_Scripts.cmake")
@ -16,27 +25,27 @@ list(APPEND CMAKE_MODULE_PATH "${POET_SOURCE_DIR}/CMake")
get_poet_version()
# set(GCC_CXX_FLAGS "-D STRICT_R_HEADERS") add_definitions(${GCC_CXX_FLAGS})
find_package(MPI REQUIRED)
find_package(RRuntime REQUIRED)
add_subdirectory(src)
add_subdirectory(R_lib)
add_subdirectory(app)
add_subdirectory(bench)
option(POET_PREPROCESS_BENCHS "Preprocess benchmarks" ON)
if (POET_PREPROCESS_BENCHS)
add_subdirectory(bench)
endif()
# as tug will also pull in doctest as a dependency
set(TUG_ENABLE_TESTING OFF CACHE BOOL "" FORCE)
add_subdirectory(ext/tug EXCLUDE_FROM_ALL)
add_subdirectory(ext/phreeqcrm EXCLUDE_FROM_ALL)
add_subdirectory(ext/litephreeqc EXCLUDE_FROM_ALL)
option(POET_ENABLE_TESTING "Build test suite for POET" OFF)
if (POET_ENABLE_TESTING)
add_subdirectory(ext/doctest EXCLUDE_FROM_ALL)
add_subdirectory(test)
endif()

62
LICENSE
View File

@ -1,8 +1,8 @@
GNU GENERAL PUBLIC LICENSE
Version 2, June 1991
Copyright (C) 1989, 1991 Free Software Foundation, Inc., <http://fsf.org/>
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
Copyright (C) 1989, 1991 Free Software Foundation, Inc.,
<https://fsf.org/>
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
@ -278,3 +278,61 @@ PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE
POSSIBILITY OF SUCH DAMAGES.
END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
convey the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If the program is interactive, make it output a short notice like this
when it starts in an interactive mode:
Gnomovision version 69, Copyright (C) year name of author
Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License. Of course, the commands you use may
be called something other than `show w' and `show c'; they could even be
mouse-clicks or menu items--whatever suits your program.
You should also get your employer (if you work as a programmer) or your
school, if any, to sign a "copyright disclaimer" for the program, if
necessary. Here is a sample; alter the names:
Yoyodyne, Inc., hereby disclaims all copyright interest in the program
`Gnomovision' (which makes passes at compilers) written by James Hacker.
<signature of Moe Ghoul>, 1 April 1989
Moe Ghoul, President of Vice
This General Public License does not permit incorporating your program into
proprietary programs. If your program is a subroutine library, you may
consider it more useful to permit linking proprietary applications with the
library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License.

336
README.md
View File

@ -1,77 +1,108 @@
<!--
Time-stamp: "Last modified 2023-08-02 13:55:11 mluebke"
-->
# POET
[POET](https://doi.org/10.5281/zenodo.4757913) is a coupled reactive transport
simulator implementing a parallel architecture and a fast, original MPI-based
Distributed Hash Table.
**NOTE: GFZ is migrating its domain from <gfz-potsdam.de> to <gfz.de>.
This should be finalized by the end of 2025. We adopt the NEW domain
in all the links given below. If you encounter 'unreachable address'
try the OLD domain.**
![POET's Coupling Scheme](./docs/20230720_Scheme_POET_en.svg)
[POET](https://doi.org/10.5281/zenodo.4757913) is a coupled reactive
transport simulator implementing a parallel architecture and a fast,
original MPI-based Distributed Hash Table.
![POET's Coupling Scheme](./docs/POET_scheme.svg)
## Parsed code documentiation
A parsed version of POET's documentiation can be found at [Gitlab
pages](https://naaice.git-pages.gfz-potsdam.de/poet).
A parsed version of POET's documentation can be found at [Gitlab
pages](https://naaice.git-pages.gfz.de/poet).
## External Libraries
The following external header library is shipped with POET:
The following external libraries are shipped with POET:
- **argh** - https://github.com/adishavit/argh (BSD license)
- **PhreeqcRM** with patches from GFZ -
https://www.usgs.gov/software/phreeqc-version-3 -
https://git.gfz-potsdam.de/mluebke/phreeqcrm-gfz
- **tug** - https://git.gfz-potsdam.de/sec34/tug
- **CLI11** - <https://github.com/CLIUtils/CLI11>
- **litephreeqc**: IPhreeqc
(<https://github.com/usgs-coupled/iphreeqc>) with patches from
GFZ/UP: <https://git.gfz.de/naaice/litephreeqc>
- **tug** - <https://git.gfz.de/naaice/tug>
## Installation
### Requirements
To compile POET you need several software to be installed:
To compile POET you need following software to be installed:
- C/C++ compiler (tested with GCC)
- MPI-Implementation (tested with OpenMPI and MVAPICH)
- R language and environment
- CMake 3.9+
- *optional*: `doxygen` with `dot` bindings for documentiation
- CMake 3.20+
- Eigen3 3.4+ (required by `tug`)
- *optional*: `doxygen` with `dot` bindings for documentation
- R language and environment including headers or `-dev` packages
(distro dependent)
The following R libraries must then be installed, which will get the
needed dependencies automatically:
The following R packages (and their dependencies) must also be
installed:
- [Rcpp](https://cran.r-project.org/web/packages/Rcpp/index.html)
- [RInside](https://cran.r-project.org/web/packages/RInside/index.html)
- [qs](https://cran.r-project.org/web/packages/qs/index.html)
- [qs2](https://cran.r-project.org/web/packages/qs2/index.html)
This can be simply achieved by issuing the following commands:
```sh
# start R environment
$ R
# install R dependencies (case sensitive!)
> install.packages(c("Rcpp", "RInside","qs","qs2"))
> q(save="no")
```
### Clone the repository
POET can be anonimously cloned from this repo over https. Make sure to
also download the submodules:
```sh
git clone --recurse-submodules https://git.gfz.de/naaice/poet.git
```
The `--recurse-submodules` option is a shorthand for:
```sh
cd poet
git submodule init && git submodule update
```
### Compiling source code
The generation of makefiles is done with CMake. You should be able to generate
Makefiles by running:
POET is built with CMake. You can generate Makefiles by running the
usual:
```sh
mkdir build && cd build
cmake ..
cmake -DCMAKE_BUILD_TYPE=Release ..
```
This will create the directory `build` and processes the CMake files
and generate Makefiles from it. You're now able to run `make` to start
build process.
If everything went well you'll find the executable at
`build/app/poet`, but it is recommended to install the POET project
If everything went well you'll find the executables at
`build/src/poet`, but it is recommended to install the POET project
structure to a desired `CMAKE_INSTALL_PREFIX` with `make install`.
During the generation of Makefiles, various options can be specified
via `cmake -D <option>=<value> [...]`. Currently, there are the
following available options:
- **POET_DHT_Debug**=_boolean_ - toggles the output of detailed statistics about
DHT usage. Defaults to _OFF_.
- **POET_ENABLE_TESTING**=_boolean_ - enables small set of unit tests (more to
come). Defaults to _OFF_.
- **POET_PHT_ADDITIONAL_INFO**=_boolean_ - enabling the count of accesses to one
PHT bucket. Use with caution, as things will get slowed down significantly.
Defaults to _OFF_.
- **POET_DHT_Debug**=_boolean_ - toggles the output of detailed
statistics about DHT usage. Defaults to _OFF_.
- **POET_ENABLE_TESTING**=_boolean_ - enables small set of unit tests
(more to come). Defaults to _OFF_.
- **POET_PHT_ADDITIONAL_INFO**=_boolean_ - enabling the count of
accesses to one PHT bucket. Use with caution, as things will get
slowed down significantly. Defaults to _OFF_.
- **POET_PREPROCESS_BENCHS**=*boolean* - enables the preprocessing of
predefined models/benchmarks. Defaults to *ON*.
### Example: Build from scratch
@ -84,7 +115,7 @@ follows:
$ R
# install R dependencies
> install.packages(c("Rcpp", "RInside"))
> install.packages(c("Rcpp", "RInside","qs","qs2"))
> q(save="no")
# cd into POET project root
@ -92,7 +123,7 @@ $ cd <POET_dir>
# Build process
$ mkdir build && cd build
$ cmake -DCMAKE_INSTALL_PREFIX=/home/<user>/poet ..
$ cmake -DCMAKE_INSTALL_PREFIX=/home/<user>/poet -DCMAKE_BUILD_TYPE=Release ..
$ make -j<max_numprocs>
$ make install
```
@ -107,66 +138,64 @@ The correspondending directory tree would look like this:
```sh
poet
├── bin
│ └── poet
├── R_lib
│ └── kin_r_library.R
│   ├── poet
│   └── poet_init
└── share
└── poet
└── bench
├── barite
│ ├── barite_interp_eval.R
│ ├── barite.pqi
│ ├── barite.R
│ └── db_barite.dat
├── dolo
│ ├── dolo_diffu_inner_large.R
│ ├── dolo_diffu_inner.R
│ ├── dolo_inner.pqi
│ ├── dolo_interp_long.R
│ └── phreeqc_kin.dat
└── surfex
├── ExBase.pqi
├── ex.R
├── SMILE_2021_11_01_TH.dat
├── SurfExBase.pqi
└── surfex.R
├── barite
│   ├── barite_200.qs2
│   ├── barite_200_rt.R
│   ├── barite_het.qs2
│   └── barite_het_rt.R
├── dolo
│   ├── dolo_inner_large.qs2
│   ├── dolo_inner_large_rt.R
│   ├── dolo_interp.qs2
│   └── dolo_interp_rt.R
└── surfex
├── PoetEGU_surfex_500.qs2
└── PoetEGU_surfex_500_rt.R
```
The R libraries will be loaded at runtime and the paths are hardcoded
absolute paths inside `poet.cpp`. So, if you consider to move
`bin/poet` either change paths of the R source files and recompile
POET or also move `R_lib/*` relative to the binary.
With the installation of POET, two executables are provided:
- `poet` - the main executable to run simulations
- `poet_init` - a preprocessor to generate input files for POET from
R scripts
The benchmarks consist of input scripts, which are provided as .R files.
Additionally, Phreeqc scripts and their corresponding databases are required,
stored as .pqi and .dat files, respectively.
Preprocessed benchmarks can be found in the `share/poet` directory
with an according *runtime* setup. More on those files and how to
create them later.
## Running
Run POET by `mpirun ./poet <OPTIONS> <SIMFILE> <OUTPUT_DIRECTORY>`
where:
Run POET by `mpirun ./poet [OPTIONS] <RUNFILE> <SIMFILE>
<OUTPUT_DIRECTORY>` where:
- **OPTIONS** - runtime parameters (explained below)
- **SIMFILE** - simulation described as R script (e.g.
`<POET_INSTALL_DIR>/share/poet/bench/dolo/dolo_interp_long.R`)
- **OUTPUT_DIRECTORY** - path, where all output of POET should be stored
- **OPTIONS** - POET options (explained below)
- **RUNFILE** - Runtime parameters described as R script
- **SIMFILE** - Simulation input prepared by `poet_init`
- **OUTPUT_DIRECTORY** - path, where all output of POET should be
stored
### Runtime options
### POET command line arguments
The following parameters can be set:
| Option | Value | Description |
|-----------------------------|--------------|--------------------------------------------------------------------------------------------------------------------------|
| **--work-package-size=** | _1..n_ | size of work packages (defaults to _5_) |
| **--ignore-result** | | disables store of simulation resuls |
| **--dht** | | enabling DHT usage (defaults to _OFF_) |
| **--dht-strategy=** | _0-1_ | change DHT strategy. **NOT IMPLEMENTED YET** (Defaults to _0_) |
| **--dht-size=** | _1-n_ | size of DHT per process involved in megabyte (defaults to _1000 MByte_) |
| **--dht-snaps=** | _0-2_ | disable or enable storage of DHT snapshots |
| **--dht-file=** | `<SNAPSHOT>` | initializes DHT with the given snapshot file |
| **--interp-size** | _1-n_ | size of PHT (interpolation) per process in megabyte |
| **--interp-bucket-entries** | _1-n_ | number of entries to store at maximum in one PHT bucket |
| **--interp-min** | _1-n_ | number of entries in PHT bucket needed to start interpolation |
| Option | Value | Description |
|-----------------------------|--------------|----------------------------------------------------------------------------------|
| **--work-package-size=** | _1..n_ | size of work packages (defaults to _5_) |
| **-P, --progress** | | show progress bar |
| **--ai-surrogate** | | activates the AI surrogate chemistry model (defaults to _OFF_) |
| **--dht** | | enabling DHT usage (defaults to _OFF_) |
| **--qs** | | store results using qs::qsave() (.qs extension) instead of default qs2 (.qs2) |
| **--rds** | | store results using saveRDS() (.rds extension) instead of default qs2 (.qs2) |
| **--dht-strategy=** | _0-1_ | change DHT strategy. **NOT IMPLEMENTED YET** (Defaults to _0_) |
| **--dht-size=** | _1-n_ | size of DHT per process involved in megabyte (defaults to _1000 MByte_) |
| **--dht-snaps=** | _0-2_ | disable or enable storage of DHT snapshots |
| **--dht-file=** | `<SNAPSHOT>` | initializes DHT with the given snapshot file |
| **--interp-size** | _1-n_ | size of PHT (interpolation) per process in megabyte |
| **--interp-bucket-entries** | _1-n_ | number of entries to store at maximum in one PHT bucket |
| **--interp-min** | _1-n_ | number of entries in PHT bucket needed to start interpolation |
#### Additions to `dht-snaps`
@ -181,28 +210,106 @@ Following values can be set:
### Example: Running from scratch
We will continue the above example and start a simulation with
`dolo_diffu_inner.R`. As transport a simple fixed-coefficient diffusion is used.
It's a 2D, 100x100 grid, simulating 10 time steps. To start the simulation with
4 processes `cd` into your previously installed POET-dir
`<POET_INSTALL_DIR>/bin` and run:
*barite_het*, which simulation files can be found in
`<INSTALL_DIR>/share/poet/barite/barite_het*`. As transport a
heterogeneous diffusion is used. It's a small 2D grid, 2x5 grid,
simulating 50 time steps with a time step size of 100 seconds. To
start the simulation with 4 processes `cd` into your previously
installed POET-dir `<POET_INSTALL_DIR>/bin` and run:
```sh
mpirun -n 4 ./poet ../share/poet/bench/dolo/dolo_diffu_inner.R/ output
cp ../share/poet/barite/barite_het* .
mpirun -n 4 ./poet barite_het_rt.R barite_het.qs2 output
```
After a finished simulation all data generated by POET will be found
in the directory `output`.
You might want to use the DHT to cache previously simulated data and reuse them
in further time-steps. Just append `--dht` to the options of POET to activate
the usage of the DHT. Also, after each iteration a DHT snapshot shall be
produced. This is done by appending the `--dht-snaps=<value>` option. The
resulting call would look like this:
You might want to use the DHT to cache previously simulated data and
reuse them in further time-steps. Just append `--dht` to the options
of POET to activate the usage of the DHT. Also, after each iteration a
DHT snapshot shall be produced. This is done by appending the
`--dht-snaps=<value>` option. The resulting call would look like this:
```sh
mpirun -n 4 ./poet --dht --dht-snaps=2 ../share/poet/bench/dolo/dolo_diffu_inner.R/ output
mpirun -n 4 ./poet --dht --dht-snaps=2 barite_het_rt.R barite_het.qs2 output
```
### Example: Preparing Environment and Running with AI surrogate
To run the AI surrogate, you need to install the R package `keras3`. The
compilation process of POET remains the same as shown above.
In the following code block, the installation process on the Turing Cluster is
shown. `miniconda` is used to create a virtual environment to install
tensorflow/keras. Please adapt the installation process to your needs.
<!-- Start an R interactive session and install the required packages: -->
```sh
# First, install the required R packages
R -e "install.packages('keras3', repos='https://cloud.r-project.org/')"
# manually create a virtual environment to install keras/python using conda,
# as this is somehow broken on the Turing Cluster when using the `keras::install_keras()` function
cd poet
# create a virtual environment in the .ai directory with python 3.11
conda create -p ./.ai python=3.11
conda activate ./.ai
# install tensorflow and keras
pip install keras tensorflow[and-cuda]
# add conda's python path to the R environment
# make sure to have the conda environment activated
echo -e "RETICULATE_PYTHON=$(which python)\n" >> ~/.Renviron
```
After setup the R environment, recompile POET and you're ready to run the AI
surrogate.
```sh
cd <installation_dir>/bin
# copy the benchmark files to the installation directory
cp <project_root_dir>/bench/barite/{barite_50ai*,db_barite.dat,barite.pqi} .
# preprocess the benchmark
./poet_init barite_50ai.R
# run POET with AI surrogate and GPU utilization
srun --gres=gpu -N 1 -n 12 ./poet --ai-surrogate barite_50ai_rt.R barite_50ai.qs2 output
```
Keep in mind that the AI surrogate is currently not stable or might also not
produce any valid predictions.
## Defining a model
In order to provide a model to POET, you need to setup a R script
which can then be used by `poet_init` to generate the simulation
input. Which parameters are required can be found in the
[Wiki](https://git.gfz.de/naaice/poet/-/wikis/Initialization).
We try to keep the document up-to-date. However, if you encounter
missing information or need help, please get in touch with us via the
issue tracker or E-Mail.
`poet_init` can be used as follows:
```sh
./poet_init [-o, --output output_file] [-s, --setwd] <script.R>
```
where:
- **output** - name of the output file (defaults to the input file
name with the extension `.qs2`)
- **setwd** - set the working directory to the directory of the input
file (e.g. to allow relative paths in the input script). However,
the output file will be stored in the directory from which
`poet_init` was called.
## About the usage of MPI_Wtime()
Implemented time measurement functions uses `MPI_Wtime()`. Some
@ -211,3 +318,44 @@ important information from the OpenMPI Man Page:
For example, on platforms that support it, the clock_gettime()
function will be used to obtain a monotonic clock value with whatever
precision is supported on that platform (e.g., nanoseconds).
## Additional functions for the AI surrogate
The AI surrogate can be activated for any benchmark and is by default
initiated as a sequential keras model with three hidden layer of depth
48, 96, 24 with relu activation and adam optimizer. All functions in
`ai_surrogate_model.R` can be overridden by adding custom definitions
via an R file in the input script. This is done by adding the path to
this file in the input script. Simply add the path as an element
called `ai_surrogate_input_script` to the `chemistry_setup` list.
Please use the global variable `ai_surrogate_base_path` as a base path
when relative filepaths are used in custom funtions.
**There is currently no default implementation to determine the
validity of predicted values.** This means, that every input script
must include an R source file with a custom function
`validate_predictions(predictors, prediction)`. Examples for custom
functions can be found for the barite_200 benchmark
The functions can be defined as follows:
`validate_predictions(predictors, prediction)`: Returns a boolean
index vector that signals for each row in the predictions if the
values are considered valid. Can eg. be implemented as a mass balance
threshold between the predictors and the prediction.
`initiate_model()`: Returns a keras model. Can be used to load
pretrained models.
`preprocess(df, backtransform = FALSE, outputs = FALSE)`: Returns the
scaled/transformed/backtransformed dataframe. The `backtransform` flag
signals if the current processing step is applied to data that's
assumed to be scaled and expects backtransformed values. The `outputs`
flag signals if the current processing step is applied to the output
or tatget of the model. This can be used to eg. skip these processing
steps and only scale the model input.
`training_step (model, predictor, target, validity)`: Trains the model
after each iteration. `validity` is the bool index vector given by
`validate_predictions` and can eg. be used to only train on values
that have not been valid predictions.

View File

@ -1 +0,0 @@
install(FILES kin_r_library.R DESTINATION R_lib)

View File

@ -0,0 +1,75 @@
## This file contains default function implementations for the ai surrogate.
## To load pretrained models, use pre-/postprocessing or change hyperparameters
## it is recommended to override these functions with custom implementations via
## the input script. The path to the R-file containing the functions mus be set
## in the variable "ai_surrogate_input_script". See the barite_200.R file as an
## example and the general README for more information.
require(keras3)
require(tensorflow)
initiate_model <- function() {
hidden_layers <- c(48, 96, 24)
activation <- "relu"
loss <- "mean_squared_error"
input_length <- length(ai_surrogate_species)
output_length <- length(ai_surrogate_species)
## Creates a new sequential model from scratch
model <- keras_model_sequential()
## Input layer defined by input data shape
model %>% layer_dense(units = input_length,
activation = activation,
input_shape = input_length,
dtype = "float32")
for (layer_size in hidden_layers) {
model %>% layer_dense(units = layer_size,
activation = activation,
dtype = "float32")
}
## Output data defined by output data shape
model %>% layer_dense(units = output_length,
activation = activation,
dtype = "float32")
model %>% compile(loss = loss,
optimizer = "adam")
return(model)
}
gpu_info <- function() {
msgm(tf_gpu_configured())
}
prediction_step <- function(model, predictors) {
prediction <- predict(model, as.matrix(predictors))
colnames(prediction) <- colnames(predictors)
return(as.data.frame(prediction))
}
preprocess <- function(df, backtransform = FALSE, outputs = FALSE) {
return(df)
}
postprocess <- function(df, backtransform = TRUE, outputs = TRUE) {
return(df)
}
set_valid_predictions <- function(temp_field, prediction, validity) {
temp_field[validity == 1, ] <- prediction[validity == 1, ]
return(temp_field)
}
training_step <- function(model, predictor, target, validity) {
msgm("Training:")
x <- as.matrix(predictor)
y <- as.matrix(target[colnames(x)])
model %>% fit(x, y)
model %>% save_model_tf(paste0(out_dir, "/current_model.keras"))
}

112
R_lib/init_r_lib.R Normal file
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@ -0,0 +1,112 @@
### Copyright (C) 2018-2024 Marco De Lucia, Max Luebke (GFZ Potsdam, University of Potsdam)
###
### POET is free software; you can redistribute it and/or modify it under the
### terms of the GNU General Public License as published by the Free Software
### Foundation; either version 2 of the License, or (at your option) any later
### version.
###
### POET is distributed in the hope that it will be useful, but WITHOUT ANY
### WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
### A PARTICULAR PURPOSE. See the GNU General Public License for more details.
###
### You should have received a copy of the GNU General Public License along with
### this program; if not, write to the Free Software Foundation, Inc., 51
### Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
##' @param pqc_mat matrix, containing IDs and PHREEQC outputs
##' @param grid matrix, zonation referring to pqc_mat$ID
##' @return a data.frame
# pqc_to_grid <- function(pqc_mat, grid) {
# # Convert the input DataFrame to a matrix
# pqc_mat <- as.matrix(pqc_mat)
# # Flatten the matrix into a vector
# id_vector <- as.integer(t(grid))
# # Find the matching rows in the matrix
# row_indices <- match(id_vector, pqc_mat[, "ID"])
# # Extract the matching rows from pqc_mat to size of grid matrix
# result_mat <- pqc_mat[row_indices, ]
# # Convert the result matrix to a data frame
# res_df <- as.data.frame(result_mat)
# # Remove all columns which only contain NaN
# res_df <- res_df[, colSums(is.na(res_df)) != nrow(res_df)]
# # Remove row names
# rownames(res_df) <- NULL
# return(res_df)
# }
##' @param pqc_mat matrix, containing IDs and PHREEQC outputs
##' @param grid matrix, zonation referring to pqc_mat$ID
##' @return a data.frame
pqc_to_grid <- function(pqc_mat, grid) {
# Convert the input DataFrame to a matrix
pqc_mat <- as.matrix(pqc_mat)
# Flatten the matrix into a vector
id_vector <- as.integer(t(grid))
# Find the matching rows in the matrix
row_indices <- match(id_vector, pqc_mat[, "ID"])
# Extract the matching rows from pqc_mat to size of grid matrix
result_mat <- pqc_mat[row_indices, ]
# Convert the result matrix to a data frame
res_df <- as.data.frame(result_mat)
# Remove all columns which only contain NaN
# res_df <- res_df[, colSums(is.na(res_df)) != nrow(res_df)]
# Remove row names
rownames(res_df) <- NULL
return(res_df)
}
##' @param pqc_mat matrix,
##' @param transport_spec column name of species in pqc_mat
##' @param id
##' @title
##' @return
resolve_pqc_bound <- function(pqc_mat, transport_spec, id) {
df <- as.data.frame(pqc_mat, check.names = FALSE)
value <- df[df$ID == id, transport_spec]
if (is.nan(value)) {
value <- 0
}
return(value)
}
##' @title
##' @param init_grid
##' @param new_names
##' @return
add_missing_transport_species <- function(init_grid, new_names) {
# add 'ID' to new_names front, as it is not a transport species but required
new_names <- c("ID", new_names)
sol_length <- length(new_names)
new_grid <- data.frame(matrix(0, nrow = nrow(init_grid), ncol = sol_length))
names(new_grid) <- new_names
matching_cols <- intersect(names(init_grid), new_names)
# Copy matching columns from init_grid to new_grid
new_grid[, matching_cols] <- init_grid[, matching_cols]
# Add missing columns to new_grid
append_df <- init_grid[, !(names(init_grid) %in% new_names)]
new_grid <- cbind(new_grid, append_df)
return(new_grid)
}

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@ -1,5 +1,3 @@
## Time-stamp: "Last modified 2023-08-15 11:58:23 delucia"
### Copyright (C) 2018-2023 Marco De Lucia, Max Luebke (GFZ Potsdam)
###
### POET is free software; you can redistribute it and/or modify it under the
@ -15,279 +13,199 @@
### this program; if not, write to the Free Software Foundation, Inc., 51
### Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
## Simple function to check file extension. It is needed to check if
## the GridFile is SUM (MUFITS format) or rds/RData
FileExt <- function(x) {
pos <- regexpr("\\.([[:alnum:]]+)$", x)
ifelse(pos > -1L, substring(x, pos + 1L), "")
}
master_init <- function(setup) {
msgm("Process with rank 0 reading GRID properties")
master_init <- function(setup, out_dir, init_field) {
## Setup the directory where we will store the results
verb <- FALSE
if (local_rank == 0) {
verb <- TRUE ## verbosity loading MUFITS results
if (!dir.exists(fileout)) {
dir.create(fileout)
msgm("created directory ", fileout)
} else {
msgm("dir ", fileout, " already exists, I will overwrite!")
}
if (!exists("store_result")) {
msgm("store_result doesn't exist!")
} else {
msgm("store_result is ", store_result)
}
if (!dir.exists(out_dir)) {
dir.create(out_dir)
msgm("created directory ", out_dir)
} else {
msgm("dir ", out_dir, " already exists, I will overwrite!")
}
if (is.null(setup$store_result)) {
msgm("store_result doesn't exist!")
} else {
msgm("store_result is ", setup$store_result)
}
setup$iter <- 1
setup$maxiter <- setup$iterations
setup$timesteps <- setup$timesteps
setup$maxiter <- length(setup$timesteps)
setup$iterations <- setup$maxiter
setup$simulation_time <- 0
dgts <- as.integer(ceiling(log10(setup$maxiter)))
## string format to use in sprintf
fmt <- paste0("%0", dgts, "d")
if (is.null(setup[["store_result"]])) {
setup$store_result <- TRUE
}
if (setup$store_result) {
init_field_out <- paste0(out_dir, "/iter_", sprintf(fmt = fmt, 0), ".", setup$out_ext)
init_field <- data.frame(init_field, check.names = FALSE)
SaveRObj(x = init_field, path = init_field_out)
msgm("Stored initial field in ", init_field_out)
if (is.null(setup[["out_save"]])) {
setup$out_save <- seq(1, setup$iterations)
}
}
setup$out_dir <- out_dir
return(setup)
}
## This function, called only by master, stores on disk the last
## calculated time step if store_result is TRUE and increments the
## iteration counter
master_iteration_end <- function(setup) {
master_iteration_end <- function(setup, state_T, state_C) {
iter <- setup$iter
# print(iter)
## max digits for iterations
dgts <- as.integer(ceiling(log10(setup$iterations + 1)))
## string format to use in sprintf
dgts <- as.integer(ceiling(log10(setup$maxiter + 1)))
## string format to use in sprintf
fmt <- paste0("%0", dgts, "d")
## Write on disk state_T and state_C after every iteration
## comprised in setup$out_save
if (setup$store_result) {
if (iter %in% setup$out_save) {
nameout <- paste0(fileout, "/iter_", sprintf(fmt=fmt, iter), ".rds")
info <- list(
tr_req_dt = as.integer(setup$req_dt)
## tr_allow_dt = setup$allowed_dt,
## tr_inniter = as.integer(setup$inniter)
nameout <- paste0(setup$out_dir, "/iter_", sprintf(fmt = fmt, iter), ".", setup$out_ext)
state_T <- data.frame(state_T, check.names = FALSE)
state_C <- data.frame(state_C, check.names = FALSE)
ai_surrogate_info <- list(
prediction_time = if (exists("ai_prediction_time")) as.integer(ai_prediction_time) else NULL,
training_time = if (exists("ai_training_time")) as.integer(ai_training_time) else NULL,
valid_predictions = if (exists("validity_vector")) validity_vector else NULL
)
saveRDS(list(
T = setup$state_T, C = setup$state_C,
simtime = as.integer(setup$simtime),
tr_info = info
), file = nameout)
SaveRObj(x = list(
T = state_T,
C = state_C,
simtime = as.integer(setup$simulation_time),
totaltime = as.integer(totaltime),
ai_surrogate_info = ai_surrogate_info
), path = nameout)
msgm("results stored in <", nameout, ">")
}
}
msgm("done iteration", iter, "/", setup$maxiter)
## Add last time step to simulation time
setup$simulation_time <- setup$simulation_time + setup$timesteps[iter]
## msgm("done iteration", iter, "/", length(setup$timesteps))
setup$iter <- setup$iter + 1
return(setup)
}
## function for the workers to compute chemistry through PHREEQC
slave_chemistry <- function(setup, data) {
base <- setup$base
first <- setup$first
prop <- setup$prop
immobile <- setup$immobile
kin <- setup$kin
ann <- setup$ann
iter <- setup$iter
timesteps <- setup$timesteps
dt <- timesteps[iter]
state_T <- data ## not the global field, but the work-package
## treat special H+/pH, e-/pe cases
state_T <- RedModRphree::Act2pH(state_T)
## reduction of the problem
if (setup$reduce) {
reduced <- ReduceStateOmit(state_T, omit = setup$ann)
} else {
reduced <- state_T
}
## form the PHREEQC input script for the current work package
inplist <- SplitMultiKin(
data = reduced, procs = 1, base = base, first = first,
ann = ann, prop = prop, minerals = immobile, kin = kin, dt = dt
)
## if (local_rank==1 & iter==1)
## RPhreeWriteInp("FirstInp", inplist)
tmpC <- RunPQC(inplist, procs = 1, second = TRUE)
## recompose after the reduction
if (setup$reduce) {
state_C <- RecomposeState(tmpC, reduced)
} else {
state_C <- tmpC
}
## the next line is needed since we don't need all columns of
## PHREEQC output
return(state_C[, prop])
}
## This function, called by master
master_chemistry <- function(setup, data) {
state_T <- setup$state_T
msgm(" chemistry iteration", setup$iter)
## treat special H+/pH, e-/pe cases
state_T <- RedModRphree::Act2pH(state_T)
## reduction of the problem
if (setup$reduce) {
reduced <- ReduceStateOmit(state_T, omit = setup$ann)
} else {
reduced <- state_T
}
## inject data from workers
res_C <- data
rownames(res_C) <- NULL
## print(res_C)
if (nrow(res_C) > nrow(reduced)) {
res_C <- res_C[seq(2, nrow(res_C), by = 2), ]
}
## recompose after the reduction
if (setup$reduce) {
state_C <- RecomposeState(res_C, reduced)
} else {
state_C <- res_C
}
setup$state_C <- state_C
setup$reduced <- reduced
return(setup)
}
## Adapted version for "reduction"
ReduceStateOmit <- function(data, omit = NULL, sign = 6) {
require(mgcv)
rem <- colnames(data)
if (is.list(omit)) {
indomi <- match(names(omit), colnames(data))
datao <- data[, -indomi]
} else {
datao <- data
}
datao <- signif(datao, sign)
red <- mgcv::uniquecombs(datao)
inds <- attr(red, "index")
now <- ncol(red)
## reattach the omitted column(s)
## FIXME: control if more than one ann is present
if (is.list(omit)) {
red <- cbind(red, rep(data[1, indomi], nrow(red)))
colnames(red)[now + 1] <- names(omit)
ret <- red[, colnames(data)]
} else {
ret <- red
}
rownames(ret) <- NULL
attr(ret, "index") <- inds
return(ret)
}
## Attach the name of the calling function to the message displayed on
## R's stdout
msgm <- function(...) {
if (local_rank == 0) {
fname <- as.list(sys.call(-1))[[1]]
prefix <- paste0("R: ", fname, " ::")
cat(paste(prefix, ..., "\n"))
}
prefix <- paste0("R: ")
cat(paste(prefix, ..., "\n"))
invisible()
}
## Function called by master R process to store on disk all relevant
## parameters for the simulation
StoreSetup <- function(setup) {
to_store <- vector(mode = "list", length = 4)
## names(to_store) <- c("Sim", "Flow", "Transport", "Chemistry", "DHT")
names(to_store) <- c("Sim", "Transport", "DHT", "Cmdline")
## read the setup R file, which is sourced in kin.cpp
tmpbuff <- file(filesim, "r")
setupfile <- readLines(tmpbuff)
close.connection(tmpbuff)
to_store$Sim <- setupfile
## to_store$Flow <- list(
## snapshots = setup$snapshots,
## gridfile = setup$gridfile,
## phase = setup$phase,
## density = setup$density,
## dt_differ = setup$dt_differ,
## prolong = setup$prolong,
## maxiter = setup$maxiter,
## saved_iter = setup$iter_output,
## out_save = setup$out_save )
to_store$Transport <- setup$diffusion
## to_store$Chemistry <- list(
## nprocs = n_procs,
## wp_size = work_package_size,
## base = setup$base,
## first = setup$first,
## init = setup$initsim,
## db = db,
## kin = setup$kin,
## ann = setup$ann)
if (dht_enabled) {
to_store$DHT <- list(
enabled = dht_enabled,
log = dht_log
## signif = dht_final_signif,
## proptype = dht_final_proptype
)
} else {
to_store$DHT <- FALSE
}
to_store$Cmdline <- commandArgs(trailingOnly=FALSE)
saveRDS(to_store, file = paste0(fileout, "/setup.rds"))
msgm("initialization stored in ", paste0(fileout, "/setup.rds"))
}
GetWorkPackageSizesVector <- function(n_packages, package_size, len) {
ids <- rep(1:n_packages, times=package_size, each = 1)[1:len]
ids <- rep(1:n_packages, times = package_size, each = 1)[1:len]
return(as.integer(table(ids)))
}
## Handler to read R objs from binary files using either builtin
## readRDS(), qs::qread() or qs2::qs_read() based on file extension
ReadRObj <- function(path) {
## code borrowed from tools::file_ext()
pos <- regexpr("\\.([[:alnum:]]+)$", path)
extension <- ifelse(pos > -1L, substring(path, pos + 1L), "")
switch(extension,
rds = readRDS(path),
qs = qs::qread(path),
qs2 = qs2::qs_read(path)
)
}
## Handler to store R objs to binary files using either builtin
## saveRDS() or qs::qsave() based on file extension
SaveRObj <- function(x, path) {
## msgm("Storing to", path)
## code borrowed from tools::file_ext()
pos <- regexpr("\\.([[:alnum:]]+)$", path)
extension <- ifelse(pos > -1L, substring(path, pos + 1L), "")
switch(extension,
rds = saveRDS(object = x, file = path),
qs = qs::qsave(x = x, file = path),
qs2 = qs2::qs_save(object = x, file = path)
)
}
######## Old relic code
## ## Function called by master R process to store on disk all relevant
## ## parameters for the simulation
## StoreSetup <- function(setup, filesim, out_dir) {
## to_store <- vector(mode = "list", length = 4)
## ## names(to_store) <- c("Sim", "Flow", "Transport", "Chemistry", "DHT")
## names(to_store) <- c("Sim", "Transport", "DHT", "Cmdline")
## ## read the setup R file, which is sourced in kin.cpp
## tmpbuff <- file(filesim, "r")
## setupfile <- readLines(tmpbuff)
## close.connection(tmpbuff)
## to_store$Sim <- setupfile
## ## to_store$Flow <- list(
## ## snapshots = setup$snapshots,
## ## gridfile = setup$gridfile,
## ## phase = setup$phase,
## ## density = setup$density,
## ## dt_differ = setup$dt_differ,
## ## prolong = setup$prolong,
## ## maxiter = setup$maxiter,
## ## saved_iter = setup$iter_output,
## ## out_save = setup$out_save )
## to_store$Transport <- setup$diffusion
## ## to_store$Chemistry <- list(
## ## nprocs = n_procs,
## ## wp_size = work_package_size,
## ## base = setup$base,
## ## first = setup$first,
## ## init = setup$initsim,
## ## db = db,
## ## kin = setup$kin,
## ## ann = setup$ann)
## if (dht_enabled) {
## to_store$DHT <- list(
## enabled = dht_enabled,
## log = dht_log
## ## signif = dht_final_signif,
## ## proptype = dht_final_proptype
## )
## } else {
## to_store$DHT <- FALSE
## }
## if (dht_enabled) {
## to_store$DHT <- list(
## enabled = dht_enabled,
## log = dht_log
## # signif = dht_final_signif,
## # proptype = dht_final_proptype
## )
## } else {
## to_store$DHT <- FALSE
## }
## saveRDS(to_store, file = paste0(fileout, "/setup.rds"))
## msgm("initialization stored in ", paste0(fileout, "/setup.rds"))
## }

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@ -1,7 +0,0 @@
configure_file(poet.h.in poet.h)
add_executable(poet poet.cpp)
target_include_directories(poet PUBLIC "${CMAKE_CURRENT_BINARY_DIR}")
target_link_libraries(poet PUBLIC poet_lib MPI::MPI_CXX)
install(TARGETS poet DESTINATION bin)

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@ -1,369 +0,0 @@
/*
** Copyright (C) 2018-2021 Alexander Lindemann, Max Luebke (University of
** Potsdam)
**
** Copyright (C) 2018-2022 Marco De Lucia, Max Luebke (GFZ Potsdam)
**
** POET is free software; you can redistribute it and/or modify it under the
** terms of the GNU General Public License as published by the Free Software
** Foundation; either version 2 of the License, or (at your option) any later
** version.
**
** POET is distributed in the hope that it will be useful, but WITHOUT ANY
** WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
** A PARTICULAR PURPOSE. See the GNU General Public License for more details.
**
** You should have received a copy of the GNU General Public License along with
** this program; if not, write to the Free Software Foundation, Inc., 51
** Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
#include <Rcpp.h>
#include <cstdint>
#include <cstdlib>
#include <poet/ChemistryModule.hpp>
#include <poet/DiffusionModule.hpp>
#include <poet/Grid.hpp>
#include <poet/Macros.hpp>
#include <poet/RInsidePOET.hpp>
#include <poet/SimParams.hpp>
#include <cstring>
#include <iostream>
#include <string>
#include <vector>
#include <mpi.h>
#include <poet.h>
using namespace std;
using namespace poet;
using namespace Rcpp;
poet::ChemistryModule::SingleCMap DFToHashMap(const Rcpp::DataFrame &df) {
std::unordered_map<std::string, double> out_map;
vector<string> col_names = Rcpp::as<vector<string>>(df.names());
for (const auto &name : col_names) {
double val = df[name.c_str()];
out_map.insert({name, val});
}
return out_map;
}
// HACK: this is a step back as the order and also the count of fields is
// predefined, but it will change in the future
void writeFieldsToR(RInside &R, const Field &trans, const Field &chem) {
R["TMP"] = Rcpp::wrap(trans.AsVector());
R["TMP_PROPS"] = Rcpp::wrap(trans.GetProps());
R.parseEval(std::string(
"mysetup$state_T <- setNames(data.frame(matrix(TMP, nrow=" +
std::to_string(trans.GetRequestedVecSize()) + ")), TMP_PROPS)"));
R["TMP"] = Rcpp::wrap(chem.AsVector());
R["TMP_PROPS"] = Rcpp::wrap(chem.GetProps());
R.parseEval(std::string(
"mysetup$state_C <- setNames(data.frame(matrix(TMP, nrow=" +
std::to_string(chem.GetRequestedVecSize()) + ")), TMP_PROPS)"));
}
void set_chem_parameters(poet::ChemistryModule &chem, uint32_t wp_size,
const std::string &database_path) {
chem.SetErrorHandlerMode(1);
chem.SetComponentH2O(false);
chem.SetRebalanceFraction(0.5);
chem.SetRebalanceByCell(true);
chem.UseSolutionDensityVolume(false);
chem.SetPartitionUZSolids(false);
// Set concentration units
// 1, mg/L; 2, mol/L; 3, kg/kgs
chem.SetUnitsSolution(2);
// 0, mol/L cell; 1, mol/L water; 2 mol/L rock
chem.SetUnitsPPassemblage(1);
// 0, mol/L cell; 1, mol/L water; 2 mol/L rock
chem.SetUnitsExchange(1);
// 0, mol/L cell; 1, mol/L water; 2 mol/L rock
chem.SetUnitsSurface(1);
// 0, mol/L cell; 1, mol/L water; 2 mol/L rock
chem.SetUnitsGasPhase(1);
// 0, mol/L cell; 1, mol/L water; 2 mol/L rock
chem.SetUnitsSSassemblage(1);
// 0, mol/L cell; 1, mol/L water; 2 mol/L rock
chem.SetUnitsKinetics(1);
// Set representative volume
std::vector<double> rv;
rv.resize(wp_size, 1.0);
chem.SetRepresentativeVolume(rv);
// Set initial porosity
std::vector<double> por;
por.resize(wp_size, 1);
chem.SetPorosity(por);
// Set initial saturation
std::vector<double> sat;
sat.resize(wp_size, 1.0);
chem.SetSaturation(sat);
// Load database
chem.LoadDatabase(database_path);
}
inline double RunMasterLoop(SimParams &params, RInside &R,
const GridParams &g_params, uint32_t nxyz_master) {
DiffusionParams d_params{R};
DiffusionModule diffusion(d_params, g_params);
/* Iteration Count is dynamic, retrieving value from R (is only needed by
* master for the following loop) */
uint32_t maxiter = R.parseEval("mysetup$iterations");
double sim_time = .0;
ChemistryModule chem(nxyz_master, params.getNumParams().wp_size, maxiter,
params.getChemParams(), MPI_COMM_WORLD);
set_chem_parameters(chem, nxyz_master, params.getChemParams().database_path);
chem.RunInitFile(params.getChemParams().input_script);
poet::ChemistryModule::SingleCMap init_df = DFToHashMap(d_params.initial_t);
chem.initializeField(diffusion.getField());
if (params.getNumParams().print_progressbar) {
chem.setProgressBarPrintout(true);
}
/* SIMULATION LOOP */
double dSimTime{0};
for (uint32_t iter = 1; iter < maxiter + 1; iter++) {
double start_t = MPI_Wtime();
uint32_t tick = 0;
// cout << "CPP: Evaluating next time step" << endl;
// R.parseEvalQ("mysetup <- master_iteration_setup(mysetup)");
double dt = Rcpp::as<double>(
R.parseEval("mysetup$timesteps[" + std::to_string(iter) + "]"));
// cout << "CPP: Next time step is " << dt << "[s]" << endl;
MSG("Next time step is " + std::to_string(dt) + " [s]");
/* displaying iteration number, with C++ and R iterator */
MSG("Going through iteration " + std::to_string(iter));
MSG("R's $iter: " +
std::to_string((uint32_t)(R.parseEval("mysetup$iter"))) +
". Iteration");
/* run transport */
// TODO: transport to diffusion
diffusion.simulate(dt);
chem.getField().update(diffusion.getField());
MSG("Chemistry step");
chem.SetTimeStep(dt);
chem.RunCells();
writeFieldsToR(R, diffusion.getField(), chem.GetField());
diffusion.getField().update(chem.GetField());
R["req_dt"] = dt;
R["simtime"] = (sim_time += dt);
R.parseEval("mysetup$req_dt <- req_dt");
R.parseEval("mysetup$simtime <- simtime");
// MDL master_iteration_end just writes on disk state_T and
// state_C after every iteration if the cmdline option
// --ignore-results is not given (and thus the R variable
// store_result is TRUE)
R.parseEvalQ("mysetup <- master_iteration_end(setup=mysetup)");
MSG("End of *coupling* iteration " + std::to_string(iter) + "/" +
std::to_string(maxiter));
MSG();
// MPI_Barrier(MPI_COMM_WORLD);
double end_t = MPI_Wtime();
dSimTime += end_t - start_t;
} // END SIMULATION LOOP
R.parseEvalQ("profiling <- list()");
R["simtime_chemistry"] = chem.GetChemistryTime();
R.parseEvalQ("profiling$simtime_chemistry <- simtime_chemistry");
R["chemistry_loop"] = chem.GetMasterLoopTime();
R.parseEvalQ("profiling$chemistry_loop <- chemistry_loop");
R["chemistry_sequential"] = chem.GetMasterSequentialTime();
R.parseEvalQ("profiling$simtime_sequential <- chemistry_sequential");
R["idle_master"] = chem.GetMasterIdleTime();
R.parseEvalQ("profiling$idle_master <- idle_master");
R["idle_worker"] = Rcpp::wrap(chem.GetWorkerIdleTimings());
R.parseEvalQ("profiling$idle_worker <- idle_worker");
R["phreeqc_time"] = Rcpp::wrap(chem.GetWorkerPhreeqcTimings());
R.parseEvalQ("profiling$phreeqc <- phreeqc_time");
R["simtime_transport"] = diffusion.getTransportTime();
R.parseEvalQ("profiling$simtime_transport <- simtime_transport");
// R["phreeqc_count"] = phreeqc_counts;
// R.parseEvalQ("profiling$phreeqc_count <- phreeqc_count");
if (params.getChemParams().use_dht) {
R["dht_hits"] = Rcpp::wrap(chem.GetWorkerDHTHits());
R.parseEvalQ("profiling$dht_hits <- dht_hits");
R["dht_evictions"] = Rcpp::wrap(chem.GetWorkerDHTEvictions());
R.parseEvalQ("profiling$dht_evictions <- dht_evictions");
R["dht_get_time"] = Rcpp::wrap(chem.GetWorkerDHTGetTimings());
R.parseEvalQ("profiling$dht_get_time <- dht_get_time");
R["dht_fill_time"] = Rcpp::wrap(chem.GetWorkerDHTFillTimings());
R.parseEvalQ("profiling$dht_fill_time <- dht_fill_time");
}
if (params.getChemParams().use_interp) {
R["interp_w"] = Rcpp::wrap(chem.GetWorkerInterpolationWriteTimings());
R.parseEvalQ("profiling$interp_write <- interp_w");
R["interp_r"] = Rcpp::wrap(chem.GetWorkerInterpolationReadTimings());
R.parseEvalQ("profiling$interp_read <- interp_r");
R["interp_g"] = Rcpp::wrap(chem.GetWorkerInterpolationGatherTimings());
R.parseEvalQ("profiling$interp_gather <- interp_g");
R["interp_fc"] =
Rcpp::wrap(chem.GetWorkerInterpolationFunctionCallTimings());
R.parseEvalQ("profiling$interp_function_calls <- interp_fc");
R["interp_calls"] = Rcpp::wrap(chem.GetWorkerInterpolationCalls());
R.parseEvalQ("profiling$interp_calls <- interp_calls");
R["interp_cached"] = Rcpp::wrap(chem.GetWorkerPHTCacheHits());
R.parseEvalQ("profiling$interp_cached <- interp_cached");
}
chem.MasterLoopBreak();
diffusion.end();
return dSimTime;
}
int main(int argc, char *argv[]) {
double dSimTime, sim_end;
int world_size, world_rank;
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_WORLD, &world_size);
MPI_Comm_rank(MPI_COMM_WORLD, &world_rank);
RInsidePOET &R = RInsidePOET::getInstance();
if (world_rank == 0) {
MSG("Running POET version " + std::string(poet_version));
}
if (world_rank > 0) {
{
SimParams params(world_rank, world_size);
int pret = params.parseFromCmdl(argv, R);
if (pret == poet::PARSER_ERROR) {
MPI_Finalize();
return EXIT_FAILURE;
} else if (pret == poet::PARSER_HELP) {
MPI_Finalize();
return EXIT_SUCCESS;
}
// ChemistryModule worker(nxyz, nxyz, MPI_COMM_WORLD);
ChemistryModule worker = poet::ChemistryModule::createWorker(
MPI_COMM_WORLD, params.getChemParams());
set_chem_parameters(worker, worker.GetWPSize(),
params.getChemParams().database_path);
worker.WorkerLoop();
}
MPI_Barrier(MPI_COMM_WORLD);
MSG("finished, cleanup of process " + std::to_string(world_rank));
MPI_Finalize();
return EXIT_SUCCESS;
}
/*Loading Dependencies*/
// TODO: kann raus
std::string r_load_dependencies = "source('../R_lib/kin_r_library.R');";
R.parseEvalQ(r_load_dependencies);
SimParams params(world_rank, world_size);
int pret = params.parseFromCmdl(argv, R);
if (pret == poet::PARSER_ERROR) {
MPI_Finalize();
return EXIT_FAILURE;
} else if (pret == poet::PARSER_HELP) {
MPI_Finalize();
return EXIT_SUCCESS;
}
MSG("RInside initialized on process " + std::to_string(world_rank));
R.parseEvalQ("mysetup <- setup");
// if (world_rank == 0) { // get timestep vector from
// grid_init function ... //
std::string master_init_code = "mysetup <- master_init(setup=setup)";
R.parseEval(master_init_code);
GridParams g_params(R);
params.initVectorParams(R);
// MDL: store all parameters
if (world_rank == 0) {
MSG("Calling R Function to store calling parameters");
R.parseEvalQ("StoreSetup(setup=mysetup)");
}
if (world_rank == 0) {
MSG("Init done on process with rank " + std::to_string(world_rank));
}
// MPI_Barrier(MPI_COMM_WORLD);
uint32_t nxyz_master = (world_size == 1 ? g_params.total_n : 1);
dSimTime = RunMasterLoop(params, R, g_params, nxyz_master);
MSG("finished simulation loop");
MSG("start timing profiling");
R["simtime"] = dSimTime;
R.parseEvalQ("profiling$simtime <- simtime");
string r_vis_code;
r_vis_code = "saveRDS(profiling, file=paste0(fileout,'/timings.rds'));";
R.parseEval(r_vis_code);
MSG("Done! Results are stored as R objects into <" + params.getOutDir() +
"/timings.rds>");
MPI_Barrier(MPI_COMM_WORLD);
MSG("finished, cleanup of process " + std::to_string(world_rank));
MPI_Finalize();
if (world_rank == 0) {
MSG("done, bye!");
}
exit(0);
}

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@ -1,11 +0,0 @@
#ifndef POET_H
#define POET_H
#include "poet/ChemistryModule.hpp"
#include <Rcpp.h>
const char *poet_version = "@POET_VERSION@";
const char *CHEMISTRY_MODULE_NAME = "state_C";
#endif // POET_H

4
apps/CMakeLists.txt Normal file
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@ -0,0 +1,4 @@
file(GLOB INIT_SRCS CONFIGURE_DEPENDS "initializer/*.cpp")
add_executable(poet_initializer ${INIT_SRCS})
target_link_libraries(poet_initializer RRuntime tug)

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@ -0,0 +1,3 @@
#include <Rcpp.h>
int main(int argc, char **argv) {}

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@ -1,3 +1,43 @@
function(ADD_BENCH_TARGET TARGET POET_BENCH_LIST RT_FILES OUT_PATH)
set(bench_install_dir share/poet/${OUT_PATH})
# create empty list
set(OUT_FILES_LIST "")
foreach(BENCH_FILE ${${POET_BENCH_LIST}})
get_filename_component(BENCH_NAME ${BENCH_FILE} NAME_WE)
set(OUT_FILE ${CMAKE_CURRENT_BINARY_DIR}/${BENCH_NAME})
set(OUT_FILE_EXT ${OUT_FILE}.qs2)
add_custom_command(
OUTPUT ${OUT_FILE_EXT}
COMMAND $<TARGET_FILE:poet_init> -n ${OUT_FILE} -s ${CMAKE_CURRENT_SOURCE_DIR}/${BENCH_FILE}
COMMENT "Running poet_init on ${BENCH_FILE}"
DEPENDS poet_init ${CMAKE_CURRENT_SOURCE_DIR}/${BENCH_FILE}
VERBATIM
COMMAND_EXPAND_LISTS
)
list(APPEND OUT_FILES_LIST ${OUT_FILE_EXT})
endforeach(BENCH_FILE ${${POET_BENCH_LIST}})
add_custom_target(
${TARGET}
DEPENDS ${OUT_FILES_LIST})
install(FILES ${OUT_FILES_LIST} DESTINATION ${bench_install_dir})
# install all ADD_FILES to the same location
install(FILES ${${RT_FILES}} DESTINATION ${bench_install_dir})
endfunction()
# define target name
set(BENCHTARGET benchmarks)
add_custom_target(${BENCHTARGET} ALL)
add_subdirectory(barite)
add_subdirectory(dolo)
add_subdirectory(surfex)
add_subdirectory(barite)

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@ -1,8 +1,20 @@
install(FILES
barite.R
barite_interp_eval.R
barite.pqi
db_barite.dat
DESTINATION
share/poet/bench/barite
# Create a list of files
set(bench_files
barite_200.R
barite_het.R
)
set(runtime_files
barite_200_rt.R
barite_het_rt.R
)
# add_custom_target(barite_bench DEPENDS ${bench_files} ${runtime_files})
ADD_BENCH_TARGET(barite_bench
bench_files
runtime_files
"barite"
)
add_dependencies(${BENCHTARGET} barite_bench)

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@ -18,9 +18,19 @@ mpirun -np 4 ./poet --interp barite_interp_eval.R barite_results
* List of Files
- =barite.R=: POET input script for a 20x20 simulation grid
- =barite_interp_eval.R=: POET input script for a 400x200 simulation
- =barite_het.R=: POET input script with homogeneous zones for a 5x2 simulation
grid
- =barite_200.R=: POET input script for a 200x200 simulation
grid
- =barite_200ai_surrogate_input_script.R=: Defines the ai surrogate functions
to load a pretrained model and apply min-max-feature scaling on the model inputs
and target. Prediction validity is assessed with a threshold of 3e-5 on the mass
balance of Ba and Sr.
- =barite_200min_max_bounds=: Minimum and maximum values from 50 iterations of the
barite_200 benchmark. Used for feature scaling in the ai surrogate.
- =barite_200model_min_max.keras=: A sequential keras model that has been trained
on 50 iterations of the barite_200 benchmark with min-max-scaled inputs
and targets/outputs.
- =db_barite.dat=: PHREEQC database containing the kinetic expressions
for barite and celestite, stripped down from =phreeqc.dat=
- =barite.pqi=: PHREEQC input script defining the chemical system

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@ -1,147 +0,0 @@
## Time-stamp: "Last modified 2023-08-02 13:59:22 mluebke"
database <- normalizePath("../share/poet/bench/barite/db_barite.dat")
input_script <- normalizePath("../share/poet/bench/barite/barite.pqi")
#################################################################
## Section 1 ##
## Grid initialization ##
#################################################################
n <- 20
m <- 20
types <- c("scratch", "phreeqc", "rds")
init_cell <- list(
"H" = 110.0124,
"O" = 55.5087,
"Charge" = -1.217E-09,
"Ba" = 1.E-10,
"Cl" = 2.E-10,
"S" = 6.205E-4,
"Sr" = 6.205E-4,
"Barite" = 0.001,
"Celestite" = 1
)
grid <- list(
n_cells = c(n, m),
s_cells = c(1, 1),
type = types[1]
)
##################################################################
## Section 2 ##
## Diffusion parameters and boundary conditions ##
##################################################################
## initial conditions
init_diffu <- list(
#"H" = 110.0124,
"H" = 0.00000028904,
#"O" = 55.5087,
"O" = 0.000000165205,
#"Charge" = -1.217E-09,
"Charge" = -3.337E-08,
"Ba" = 1.E-10,
"Cl" = 1.E-10,
"S(6)" = 6.205E-4,
"Sr" = 6.205E-4
)
injection_diff <- list(
list(
#"H" = 111.0124,
"H" = 0.0000002890408,
#"O" = 55.50622,
"O" = 0.00002014464,
#"Charge" = -3.337E-08,
"Charge" = -3.337000004885E-08,
"Ba" = 0.1,
"Cl" = 0.2,
"S(6)" = 0,
"Sr" = 0)
)
## diffusion coefficients
alpha_diffu <- c(
"H" = 1E-06,
"O" = 1E-06,
"Charge" = 1E-06,
"Ba" = 1E-06,
"Cl" = 1E-06,
"S(6)" = 1E-06,
"Sr" = 1E-06
)
## vecinj_inner <- list(
## l1 = c(1,20,20),
## l2 = c(2,80,80),
## l3 = c(2,60,80)
## )
boundary <- list(
"N" = rep(1, n),
## "N" = rep(0, n),
"E" = rep(0, n),
"S" = rep(0, n),
"W" = rep(0, n)
)
diffu_list <- names(alpha_diffu)
vecinj <- do.call(rbind.data.frame, injection_diff)
names(vecinj) <- names(init_diffu)
diffusion <- list(
init = as.data.frame(init_diffu, check.names = FALSE),
vecinj = vecinj,
# vecinj_inner = vecinj_inner,
vecinj_index = boundary,
alpha = alpha_diffu
)
#################################################################
## Section 3 ##
## Chemistry module (Phreeqc) ##
#################################################################
## # Needed when using DHT
dht_species <- c(
"H" = 10,
"O" = 10,
"Charge" = 3,
"Ba" = 5,
"Cl" = 5,
"S(6)" = 5,
"Sr" = 5
)
chemistry <- list(
database = database,
input_script = input_script,
dht_species = dht_species
)
#################################################################
## Section 4 ##
## Putting all those things together ##
#################################################################
iterations <- 4
dt <- 100
setup <- list(
grid = grid,
diffusion = diffusion,
chemistry = chemistry,
iterations = iterations,
timesteps = rep(dt, iterations),
store_result = TRUE,
out_save = seq(1, iterations)
)

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@ -1,25 +1,32 @@
SELECTED_OUTPUT
-high_precision true
-reset false
-kinetic_reactants Barite Celestite
-saturation_indices Barite Celestite
SOLUTION 1
units mol/kgw
water 1
temperature 25
pH 7
pe 10.799
Ba 0.1
Cl 0.2
S 1e-9
Sr 1e-9
KINETICS 1
Barite
-m 0.001
-parms 50. # reactive surface area
-tol 1e-9
Celestite
-m 1
-parms 10.0 # reactive surface area
-tol 1e-9
units mol/kgw
water 1
temperature 25
pH 7
PURE 1
Celestite 0.0 1
END
RUN_CELLS
-cells 1
COPY solution 1 2
KINETICS 2
Barite
-m 0.001
-parms 50. # reactive surface area
-tol 1e-9
Celestite
-m 1
-parms 10.0 # reactive surface area
-tol 1e-9
END
SOLUTION 3
units mol/kgw
water 1
temperature 25
Ba 0.1
Cl 0.2
END

59
bench/barite/barite_200.R Normal file
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@ -0,0 +1,59 @@
cols <- 200
rows <- 200
s_cols <- 1
s_rows <- 1
grid_def <- matrix(2, nrow = rows, ncol = cols)
# Define grid configuration for POET model
grid_setup <- list(
pqc_in_file = "./barite.pqi",
pqc_db_file = "./db_barite.dat", # Path to the database file for Phreeqc
grid_def = grid_def, # Definition of the grid, containing IDs according to the Phreeqc input script
grid_size = c(s_rows, s_cols), # Size of the grid in meters
constant_cells = c() # IDs of cells with constant concentration
)
bound_length <- 2
bound_def <- list(
"type" = rep("constant", bound_length),
"sol_id" = rep(3, bound_length),
"cell" = seq(1, bound_length)
)
homogenous_alpha <- 1e-6
diffusion_setup <- list(
boundaries = list(
"W" = bound_def,
"N" = bound_def
),
alpha_x = homogenous_alpha,
alpha_y = homogenous_alpha
)
dht_species <- c(
"H" = 3,
"O" = 3,
"Charge" = 6,
"Ba" = 6,
"Cl" = 6,
"S" = 6,
"Sr" = 6,
"Barite" = 5,
"Celestite" = 5
)
chemistry_setup <- list(
dht_species = dht_species,
ai_surrogate_input_script = "./barite_200ai_surrogate_input_script.R"
)
# Define a setup list for simulation configuration
setup <- list(
Grid = grid_setup, # Parameters related to the grid structure
Diffusion = diffusion_setup, # Parameters related to the diffusion process
Chemistry = chemistry_setup
)

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@ -0,0 +1,7 @@
iterations <- 50
dt <- 100
list(
timesteps = rep(dt, iterations),
store_result = TRUE
)

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@ -0,0 +1,48 @@
## load a pretrained model from tensorflow file
## Use the global variable "ai_surrogate_base_path" when using file paths
## relative to the input script
initiate_model <- function() {
init_model <- normalizePath(paste0(ai_surrogate_base_path,
"model_min_max_float64.keras"))
return(load_model_tf(init_model))
}
scale_min_max <- function(x, min, max, backtransform) {
if (backtransform) {
return((x * (max - min)) + min)
} else {
return((x - min) / (max - min))
}
}
preprocess <- function(df, backtransform = FALSE, outputs = FALSE) {
minmax_file <- normalizePath(paste0(ai_surrogate_base_path,
"min_max_bounds.rds"))
global_minmax <- readRDS(minmax_file)
for (column in colnames(df)) {
df[column] <- lapply(df[column],
scale_min_max,
global_minmax$min[column],
global_minmax$max[column],
backtransform)
}
return(df)
}
mass_balance <- function(predictors, prediction) {
dBa <- abs(prediction$Ba + prediction$Barite -
predictors$Ba - predictors$Barite)
dSr <- abs(prediction$Sr + prediction$Celestite -
predictors$Sr - predictors$Celestite)
return(dBa + dSr)
}
validate_predictions <- function(predictors, prediction) {
epsilon <- 3e-5
mb <- mass_balance(predictors, prediction)
msgm("Mass balance mean:", mean(mb))
msgm("Mass balance variance:", var(mb))
msgm("Rows where mass balance meets threshold", epsilon, ":",
sum(mb < epsilon))
return(mb < epsilon)
}

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@ -0,0 +1,60 @@
## Time-stamp: "Last modified 2024-05-30 13:34:14 delucia"
cols <- 50
rows <- 50
s_cols <- 0.25
s_rows <- 0.25
grid_def <- matrix(2, nrow = rows, ncol = cols)
# Define grid configuration for POET model
grid_setup <- list(
pqc_in_file = "./barite.pqi",
pqc_db_file = "./db_barite.dat", ## Path to the database file for Phreeqc
grid_def = grid_def, ## Definition of the grid, containing IDs according to the Phreeqc input script
grid_size = c(s_rows, s_cols), ## Size of the grid in meters
constant_cells = c() ## IDs of cells with constant concentration
)
bound_length <- 2
bound_def <- list(
"type" = rep("constant", bound_length),
"sol_id" = rep(3, bound_length),
"cell" = seq(1, bound_length)
)
homogenous_alpha <- 1e-8
diffusion_setup <- list(
boundaries = list(
"W" = bound_def,
"N" = bound_def
),
alpha_x = homogenous_alpha,
alpha_y = homogenous_alpha
)
dht_species <- c(
"H" = 3,
"O" = 3,
"Charge" = 3,
"Ba" = 6,
"Cl" = 6,
"S" = 6,
"Sr" = 6,
"Barite" = 5,
"Celestite" = 5
)
chemistry_setup <- list(
dht_species = dht_species,
ai_surrogate_input_script = "./barite_50ai_surr_mdl.R"
)
# Define a setup list for simulation configuration
setup <- list(
Grid = grid_setup, # Parameters related to the grid structure
Diffusion = diffusion_setup, # Parameters related to the diffusion process
Chemistry = chemistry_setup
)

Binary file not shown.

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@ -0,0 +1,9 @@
iterations <- 1000
dt <- 200
list(
timesteps = rep(dt, iterations),
store_result = TRUE,
out_save = c(1, 5, seq(20, iterations, by=20))
)

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@ -0,0 +1,90 @@
## Time-stamp: "Last modified 2024-05-30 13:27:06 delucia"
## load a pretrained model from tensorflow file
## Use the global variable "ai_surrogate_base_path" when using file paths
## relative to the input script
initiate_model <- function() {
require(keras3)
require(tensorflow)
init_model <- normalizePath(paste0(ai_surrogate_base_path,
"barite_50ai_all.keras"))
Model <- keras3::load_model(init_model)
msgm("Loaded model:")
print(str(Model))
return(Model)
}
scale_min_max <- function(x, min, max, backtransform) {
if (backtransform) {
return((x * (max - min)) + min)
} else {
return((x - min) / (max - min))
}
}
minmax <- list(min = c(H = 111.012433592824, O = 55.5062185549492, Charge = -3.1028354471876e-08,
Ba = 1.87312878574393e-141, Cl = 0, `S(6)` = 4.24227510643685e-07,
Sr = 0.00049382996130541, Barite = 0.000999542409828586, Celestite = 0.244801877115968),
max = c(H = 111.012433679682, O = 55.5087003521685, Charge = 5.27666636082035e-07,
Ba = 0.0908849779513762, Cl = 0.195697626449355, `S(6)` = 0.000620774752665846,
Sr = 0.0558680070692722, Barite = 0.756779139057097, Celestite = 1.00075422160624
))
preprocess <- function(df) {
if (!is.data.frame(df))
df <- as.data.frame(df, check.names = FALSE)
as.data.frame(lapply(colnames(df),
function(x) scale_min_max(x=df[x],
min=minmax$min[x],
max=minmax$max[x],
backtransform=FALSE)),
check.names = FALSE)
}
postprocess <- function(df) {
if (!is.data.frame(df))
df <- as.data.frame(df, check.names = FALSE)
as.data.frame(lapply(colnames(df),
function(x) scale_min_max(x=df[x],
min=minmax$min[x],
max=minmax$max[x],
backtransform=TRUE)),
check.names = FALSE)
}
mass_balance <- function(predictors, prediction) {
dBa <- abs(prediction$Ba + prediction$Barite -
predictors$Ba - predictors$Barite)
dSr <- abs(prediction$Sr + prediction$Celestite -
predictors$Sr - predictors$Celestite)
return(dBa + dSr)
}
validate_predictions <- function(predictors, prediction) {
epsilon <- 1E-7
mb <- mass_balance(predictors, prediction)
msgm("Mass balance mean:", mean(mb))
msgm("Mass balance variance:", var(mb))
ret <- mb < epsilon
msgm("Rows where mass balance meets threshold", epsilon, ":",
sum(ret))
return(ret)
}
training_step <- function(model, predictor, target, validity) {
msgm("Starting incremental training:")
## x <- as.matrix(predictor)
## y <- as.matrix(target[colnames(x)])
history <- model %>% keras3::fit(x = data.matrix(predictor),
y = data.matrix(target),
epochs = 10, verbose=1)
keras3::save_model(model,
filepath = paste0(out_dir, "/current_model.keras"),
overwrite=TRUE)
return(model)
}

32
bench/barite/barite_het.R Normal file
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@ -0,0 +1,32 @@
grid_def <- matrix(c(2, 3), nrow = 2, ncol = 5)
# Define grid configuration for POET model
grid_setup <- list(
pqc_in_file = "./barite_het.pqi",
pqc_db_file = "./db_barite.dat", # Path to the database file for Phreeqc
grid_def = grid_def, # Definition of the grid, containing IDs according to the Phreeqc input script
grid_size = c(ncol(grid_def), nrow(grid_def)), # Size of the grid in meters
constant_cells = c() # IDs of cells with constant concentration
)
diffusion_setup <- list(
boundaries = list(
"W" = list(
"type" = rep("constant", nrow(grid_def)),
"sol_id" = rep(4, nrow(grid_def)),
"cell" = seq_len(nrow(grid_def))
)
),
alpha_x = 1e-6,
alpha_y = matrix(runif(10, 1e-8, 1e-7),
nrow = nrow(grid_def),
ncol = ncol(grid_def)
)
)
# Define a setup list for simulation configuration
setup <- list(
Grid = grid_setup, # Parameters related to the grid structure
Diffusion = diffusion_setup, # Parameters related to the diffusion process
Chemistry = list()
)

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@ -0,0 +1,80 @@
## Initial: everywhere equilibrium with Celestite NB: The aqueous
## solution *resulting* from this calculation is to be used as initial
## state everywhere in the domain
SOLUTION 1
units mol/kgw
water 1
temperature 25
pH 7
pe 4
S(6) 1e-12
Sr 1e-12
Ba 1e-12
Cl 1e-12
PURE 1
Celestite 0.0 1
SAVE SOLUTION 2 # <- phreeqc keyword to store and later reuse these results
END
RUN_CELLS
-cells 1
COPY solution 1 2-3
## Here a 5x2 domain:
|---+---+---+---+---|
-> | 2 | 2 | 2 | 2 | 2 |
4 |---+---+---+---+---|
-> | 3 | 3 | 3 | 3 | 3 |
|---+---+---+---+---|
## East boundary: "injection" of solution 4. North, W, S boundaries: closed
## Here the two distinct zones: nr 2 with kinetics Celestite (initial
## amount is 0, is then allowed to precipitate) and nr 3 with kinetic
## Celestite and Barite (both initially > 0) where the actual
## replacement takes place
#USE SOLUTION 2 <- PHREEQC keyword to reuse the results from previous calculation
KINETICS 2
Celestite
-m 0 # Allowed to precipitate
-parms 10.0
-tol 1e-9
END
#USE SOLUTION 2 <- PHREEQC keyword to reuse the results from previous calculation
KINETICS 3
Barite
-m 0.001
-parms 50.
-tol 1e-9
Celestite
-m 1
-parms 10.0
-tol 1e-9
END
## A BaCl2 solution (nr 4) is "injected" from the left boundary:
SOLUTION 4
units mol/kgw
pH 7
water 1
temp 25
Ba 0.1
Cl 0.2
END
## NB: again, the *result* of the SOLUTION 4 script defines the
## concentration of all elements (+charge, tot H, tot O)
## Ideally, in the initial state SOLUTION 1 we should not have to
## define the 4 elemental concentrations (S(6), Sr, Ba and Cl) but
## obtain them having run once the scripts with the aqueous solution
## resulting from SOLUTION 1 once with KINETICS 2 and once with
## KINETICS 3.
RUN_CELLS
-cells 2-4

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@ -0,0 +1,4 @@
list(
timesteps = rep(50, 100),
store_result = TRUE
)

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@ -1,151 +0,0 @@
## Time-stamp: "Last modified 2023-07-21 15:04:49 mluebke"
database <- normalizePath("../share/poet/bench/barite/db_barite.dat")
input_script <- normalizePath("../share/poet/bench/barite/barite.pqi")
#################################################################
## Section 1 ##
## Grid initialization ##
#################################################################
n <- 400
m <- 200
types <- c("scratch", "phreeqc", "rds")
init_cell <- list(
"H" = 110.0124,
"O" = 55.5087,
"Charge" = -1.217E-09,
"Ba" = 1.E-10,
"Cl" = 2.E-10,
"S" = 6.205E-4,
"Sr" = 6.205E-4,
"Barite" = 0.001,
"Celestite" = 1
)
grid <- list(
n_cells = c(n, m),
s_cells = c(n / 10, m / 10),
type = types[1],
init_cell = as.data.frame(init_cell, check.names = FALSE),
props = names(init_cell),
database = database,
input_script = input_script
)
##################################################################
## Section 2 ##
## Diffusion parameters and boundary conditions ##
##################################################################
## initial conditions
init_diffu <- list(
# "H" = 110.0124,
"H" = 0.00000028904,
# "O" = 55.5087,
"O" = 0.000000165205,
# "Charge" = -1.217E-09,
"Charge" = -3.337E-08,
"Ba" = 1.E-10,
"Cl" = 1.E-10,
"S(6)" = 6.205E-4,
"Sr" = 6.205E-4
)
injection_diff <- list(
list(
# "H" = 111.0124,
"H" = 0.0000002890408,
# "O" = 55.50622,
"O" = 0.00002014464,
# "Charge" = -3.337E-08,
"Charge" = -3.337000004885E-08,
"Ba" = 0.1,
"Cl" = 0.2,
"S(6)" = 0,
"Sr" = 0
)
)
## diffusion coefficients
alpha_diffu <- c(
"H" = 1E-06,
"O" = 1E-06,
"Charge" = 1E-06,
"Ba" = 1E-06,
"Cl" = 1E-06,
"S(6)" = 1E-06,
"Sr" = 1E-06
)
vecinj_inner <- list(
l1 = c(1, floor(n / 2), floor(m / 2))
## l2 = c(2,80,80),
## l3 = c(2,60,80)
)
boundary <- list(
# "N" = rep(1, n),
"N" = rep(0, n),
"E" = rep(0, n),
"S" = rep(0, n),
"W" = rep(0, n)
)
diffu_list <- names(alpha_diffu)
vecinj <- do.call(rbind.data.frame, injection_diff)
names(vecinj) <- names(init_diffu)
diffusion <- list(
init = as.data.frame(init_diffu, check.names = FALSE),
vecinj = vecinj,
vecinj_inner = vecinj_inner,
vecinj_index = boundary,
alpha = alpha_diffu
)
#################################################################
## Section 3 ##
## Chemistry module (Phreeqc) ##
#################################################################
## # Needed when using DHT
dht_species <- c(
"H" = 10,
"O" = 10,
"Charge" = 3,
"Ba" = 5,
"Cl" = 5,
"S(6)" = 5,
"Sr" = 5
)
chemistry <- list(
database = database,
input_script = input_script,
dht_species = dht_species
)
#################################################################
## Section 4 ##
## Putting all those things together ##
#################################################################
iterations <- 200
dt <- 250
setup <- list(
grid = grid,
diffusion = diffusion,
chemistry = chemistry,
iterations = iterations,
timesteps = rep(dt, iterations),
store_result = TRUE,
out_save = seq(1, iterations)
)

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@ -1,9 +1,18 @@
install(FILES
dolo_diffu_inner.R
dolo_diffu_inner_large.R
dolo_inner.pqi
dolo_interp_long.R
phreeqc_kin.dat
DESTINATION
share/poet/bench/dolo
set(bench_files
dolo_inner_large.R
dolo_interp.R
)
set(runtime_files
dolo_inner_large_rt.R
dolo_interp_rt.R
)
ADD_BENCH_TARGET(
dolo_bench
bench_files
runtime_files
"dolo"
)
add_dependencies(${BENCHTARGET} dolo_bench)

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@ -1,51 +0,0 @@
## Time-stamp: "Last modified 2022-12-16 20:26:03 delucia"
source("../../../util/data_evaluation/RFun_Eval.R")
sd <- ReadRTSims("naaice_2d")
sd <- ReadRTSims("Sim2D")
sd <- ReadRTSims("inner")
tim <- readRDS("inner/timings.rds")
simtimes <- sapply(sd, "[","simtime")
## workhorse function to be used with package "animation"
PlotAn <- function(tot, prop, grid, breaks) {
for (step in seq(1, length(tot))) {
snap <- tot[[step]]$C
time <- tot[[step]]$simtime/3600/24
ind <- match(prop, colnames(snap))
Plot2DCellData(snap[,ind], grid=grid, contour=FALSE, breaks=breaks, nlevels=length(breaks), scale=TRUE, main=paste0(prop," after ", time, "days"))
}
}
options(width=110)
library(viridis)
Plot2DCellData(sd$iter_050$C$Cl, nx=1/100, ny=1/100, contour = TRUE,
nlevels = 12, palette = "heat.colors",
rev.palette = TRUE, scale = TRUE, main="Cl")
Plot2DCellData(sd$iter_050$C$Dolomite, nx=100, ny=100, contour = FALSE,
nlevels = 12, palette = "heat.colors",
rev.palette = TRUE, scale = TRUE, )
cairo_pdf("naaice_inner_Dolo.pdf", width=8, height = 6, family="serif")
Plot2DCellData(sd$iter_100$C$Dolomite, nx=100, ny=100, contour = FALSE,
nlevels = 12, palette = "viridis",
rev.palette = TRUE, scale = TRUE, plot.axes = FALSE,
main="2D Diffusion - Dolomite after 2E+4 s (100 iterations)")
dev.off()
cairo_pdf("naaice_inner_Mg.pdf", width=8, height = 6, family="serif")
Plot2DCellData(sd$iter_100$C$Mg, nx=100, ny=100, contour = FALSE,
nlevels = 12, palette = "terrain.colors",
rev.palette = TRUE, scale = TRUE, plot.axes=FALSE,
main="2D Diffusion - Mg after 2E+4 s (100 iterations)")
dev.off()

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@ -18,16 +18,13 @@ mpirun -np 4 ./poet --dht --interp dolo_interp_long.R dolo_interp_long_res
* List of Files
- =dolo_diffu_inner.R=: POET input script for a 100x100 simulation
grid
- =dolo_interp_long.R=: POET input script for a 400x200 simulation
- =dolo_interp.R=: POET input script for a 400x200 simulation
grid
- =dolo_diffu_inner_large.R=: POET input script for a 400x200
simulation grid
- =phreeqc_kin.dat=: PHREEQC database containing the kinetic expressions
for dolomite and celestite, stripped down from =phreeqc.dat=
- =dol.pqi=: PHREEQC input script for the chemical system
# - =dolo.R=: POET input script for a 20x20 simulation grid
# - =dolo_diffu_inner_large.R=: POET input script for a 400x200
# simulation grid
* Chemical system

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@ -1,35 +1,43 @@
SELECTED_OUTPUT
-high_precision true
-reset false
-time
-soln
-temperature true
-water true
-pH
-pe
-totals C Ca Cl Mg
-kinetic_reactants Calcite Dolomite
-equilibrium O2g
SOLUTION 1
units mol/kgw
temp 25.0
water 1
pH 9.91 charge
pe 4.0
C 1.2279E-04
Ca 1.2279E-04
Cl 1E-12
Mg 1E-12
units mol/kgw
water 1
temperature 25
pH 7
pe 4
PURE 1
O2g -0.1675 10
KINETICS 1
Calcite
-m 0.000207
-parms 0.0032
-tol 1e-10
Dolomite
-m 0.0
-parms 0.00032
-tol 1e-10
Calcite 0.0 1
END
RUN_CELLS
-cells 1
COPY solution 1 2
PURE 2
O2g -0.1675 10
KINETICS 2
Calcite
-m 0.000207
-parms 0.05
-tol 1e-10
Dolomite
-m 0.0
-parms 0.005
-tol 1e-10
END
SOLUTION 3
units mol/kgw
water 1
temp 25
Mg 0.001
Cl 0.002
END
SOLUTION 4
units mol/kgw
water 1
temp 25
Mg 0.002
Cl 0.004
END

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@ -1,190 +0,0 @@
## Time-stamp: "Last modified 2023-08-16 17:04:42 mluebke"
database <- normalizePath("../share/poet/bench/dolo/phreeqc_kin.dat")
input_script <- normalizePath("../share/poet/bench/dolo/dolo_inner.pqi")
#################################################################
## Section 1 ##
## Grid initialization ##
#################################################################
n <- 100
m <- 100
types <- c("scratch", "phreeqc", "rds")
init_cell <- list(
"H" = 110.683,
"O" = 55.3413,
"Charge" = -5.0822e-19,
"C(4)" = 1.2279E-4,
"Ca" = 1.2279E-4,
"Cl" = 0,
"Mg" = 0,
"O2g" = 0.499957,
"Calcite" = 2.07e-4,
"Dolomite" = 0
)
grid <- list(
n_cells = c(n, m),
s_cells = c(1, 1),
type = types[1]
)
##################################################################
## Section 2 ##
## Diffusion parameters and boundary conditions ##
##################################################################
## initial conditions
init_diffu <- list(
"H" = 110.683,
"O" = 55.3413,
"Charge" = -5.0822e-19,
"C(4)" = 1.2279E-4,
"Ca" = 1.2279E-4,
"Cl" = 0,
"Mg" = 0
)
## diffusion coefficients
alpha_diffu <- c(
"H" = 1E-6,
"O" = 1E-6,
"Charge" = 1E-6,
"C(4)" = 1E-6,
"Ca" = 1E-6,
"Cl" = 1E-6,
"Mg" = 1E-6
)
## list of boundary conditions/inner nodes
vecinj_diffu <- list(
list(
"H" = 110.683,
"O" = 55.3413,
"Charge" = 1.90431e-16,
"C(4)" = 0,
"Ca" = 0,
"Cl" = 0.002,
"Mg" = 0.001
),
list(
"H" = 110.683,
"O" = 55.3413,
"Charge" = 1.90431e-16,
"C(4)" = 0,
"Ca" = 0.0,
"Cl" = 0.004,
"Mg" = 0.002
)
)
vecinj_inner <- list(
l1 = c(1, 20, 20),
l2 = c(2, 80, 80),
l3 = c(2, 60, 80)
)
boundary <- list(
# "N" = c(1, rep(0, n-1)),
"N" = rep(0, n),
"E" = rep(0, n),
"S" = rep(0, n),
"W" = rep(0, n)
)
diffu_list <- names(alpha_diffu)
vecinj <- do.call(rbind.data.frame, vecinj_diffu)
names(vecinj) <- names(init_diffu)
diffusion <- list(
init = as.data.frame(init_diffu, check.names = FALSE),
vecinj = vecinj,
vecinj_inner = vecinj_inner,
vecinj_index = boundary,
alpha = alpha_diffu
)
#################################################################
## Section 3 ##
## Chemistry module (Phreeqc) ##
#################################################################
## # Needed when using DHT
dht_species <- c(
"H" = 10,
"O" = 10,
"Charge" = 3,
"C(4)" = 5,
"Ca" = 5,
"Cl" = 5,
"Mg" = 5,
"Calcite" = 5,
"Dolomite" = 5
)
check_sign_cal_dol_dht <- function(old, new) {
if ((old["Calcite"] == 0) != (new["Calcite"] == 0)) {
return(TRUE)
}
if ((old["Dolomite"] == 0) != (new["Dolomite"] == 0)) {
return(TRUE)
}
return(FALSE)
}
fuzz_input_dht_keys <- function(input) {
return(input[names(dht_species)])
}
check_sign_cal_dol_interp <- function(to_interp, data_set) {
data_set <- as.data.frame(do.call(rbind, data_set), check.names = FALSE, optional = TRUE)
names(data_set) <- names(dht_species)
cal <- (data_set$Calcite == 0) == (to_interp["Calcite"] == 0)
dol <- (data_set$Dolomite == 0) == (to_interp["Dolomite"] == 0)
cal_dol_same_sig <- cal == dol
return(rev(which(!cal_dol_same_sig)))
}
check_neg_cal_dol <- function(result) {
neg_sign <- (result["Calcite"] <- 0) || (result["Dolomite"] < 0)
return(any(neg_sign))
}
hooks <- list(
dht_fill = check_sign_cal_dol_dht,
dht_fuzz = fuzz_input_dht_keys,
interp_pre_func = check_sign_cal_dol_interp,
interp_post_func = check_neg_cal_dol
)
chemistry <- list(
database = database,
input_script = input_script,
dht_species = dht_species,
hooks = hooks
)
#################################################################
## Section 4 ##
## Putting all those things together ##
#################################################################
iterations <- 10
dt <- 200
setup <- list(
grid = grid,
diffusion = diffusion,
chemistry = chemistry,
iterations = iterations,
timesteps = rep(dt, iterations),
store_result = TRUE
)

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@ -1,190 +0,0 @@
## Time-stamp: "Last modified 2023-08-16 17:05:04 mluebke"
database <- normalizePath("../share/poet/bench/dolo/phreeqc_kin.dat")
input_script <- normalizePath("../share/poet/bench/dolo/dolo_inner.pqi")
#################################################################
## Section 1 ##
## Grid initialization ##
#################################################################
n <- 2000
m <- 1000
types <- c("scratch", "phreeqc", "rds")
init_cell <- list(
"H" = 110.683,
"O" = 55.3413,
"Charge" = -5.0822e-19,
"C" = 1.2279E-4,
"Ca" = 1.2279E-4,
"Cl" = 0,
"Mg" = 0,
"O2g" = 0.499957,
"Calcite" = 2.07e-4,
"Dolomite" = 0
)
grid <- list(
n_cells = c(n, m),
s_cells = c(2, 1),
type = types[1]
)
##################################################################
## Section 2 ##
## Diffusion parameters and boundary conditions ##
##################################################################
## initial conditions
init_diffu <- list(
"H" = 0.000211313883539788,
"O" = 0.00398302904424952,
"Charge" = -5.0822e-19,
"C(4)" = 1.2279E-4,
"Ca" = 1.2279E-4,
"Cl" = 0,
"Mg" = 0
)
## diffusion coefficients
alpha_diffu <- c(
"H" = 1E-6,
"O" = 1E-6,
"Charge" = 1E-6,
"C(4)" = 1E-6,
"Ca" = 1E-6,
"Cl" = 1E-6,
"Mg" = 1E-6
)
## list of boundary conditions/inner nodes
vecinj_diffu <- list(
list(
"H" = 0.0001540445,
"O" = 0.002148006,
"Charge" = 1.90431e-16,
"C(4)" = 0,
"Ca" = 0,
"Cl" = 0.002,
"Mg" = 0.001
),
list(
"H" = 0.0001610193,
"O" = 0.002386934,
"Charge" = 1.90431e-16,
"C(4)" = 0,
"Ca" = 0.0,
"Cl" = 0.004,
"Mg" = 0.002
)
)
vecinj_inner <- list(
l1 = c(1, 400, 200),
l2 = c(2, 1400, 800),
l3 = c(2, 1600, 800)
)
boundary <- list(
# "N" = c(1, rep(0, n-1)),
"N" = rep(0, n),
"E" = rep(0, m),
"S" = rep(0, n),
"W" = rep(0, m)
)
diffu_list <- names(alpha_diffu)
vecinj <- do.call(rbind.data.frame, vecinj_diffu)
names(vecinj) <- names(init_diffu)
diffusion <- list(
init = as.data.frame(init_diffu, check.names = FALSE),
vecinj = vecinj,
vecinj_inner = vecinj_inner,
vecinj_index = boundary,
alpha = alpha_diffu
)
#################################################################
## Section 3 ##
## Chemistry module (Phreeqc) ##
#################################################################
## # Needed when using DHT
dht_species <- c(
"H" = 10,
"O" = 10,
"Charge" = 3,
"C(4)" = 5,
"Ca" = 5,
"Cl" = 5,
"Mg" = 5,
"Calcite" = 5,
"Dolomite" = 5
)
check_sign_cal_dol_dht <- function(old, new) {
if ((old["Calcite"] == 0) != (new["Calcite"] == 0)) {
return(TRUE)
}
if ((old["Dolomite"] == 0) != (new["Dolomite"] == 0)) {
return(TRUE)
}
return(FALSE)
}
fuzz_input_dht_keys <- function(input) {
return(input[names(dht_species)])
}
check_sign_cal_dol_interp <- function(to_interp, data_set) {
data_set <- as.data.frame(do.call(rbind, data_set), check.names = FALSE, optional = TRUE)
names(data_set) <- names(dht_species)
cal <- (data_set$Calcite == 0) == (to_interp["Calcite"] == 0)
dol <- (data_set$Dolomite == 0) == (to_interp["Dolomite"] == 0)
cal_dol_same_sig <- cal == dol
return(rev(which(!cal_dol_same_sig)))
}
check_neg_cal_dol <- function(result) {
neg_sign <- (result["Calcite"] <- 0) || (result["Dolomite"] < 0)
return(any(neg_sign))
}
hooks <- list(
dht_fill = check_sign_cal_dol_dht,
dht_fuzz = fuzz_input_dht_keys,
interp_pre_func = check_sign_cal_dol_interp,
interp_post_func = check_neg_cal_dol
)
chemistry <- list(
database = database,
input_script = input_script,
dht_species = dht_species,
hooks = hooks
)
#################################################################
## Section 4 ##
## Putting all those things together ##
#################################################################
iterations <- 500
dt <- 50
setup <- list(
grid = grid,
diffusion = diffusion,
chemistry = chemistry,
iterations = iterations,
timesteps = rep(dt, iterations),
store_result = TRUE,
out_save = seq(5, iterations, by = 5)
)

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@ -1,28 +0,0 @@
SELECTED_OUTPUT
-high_precision true
-reset false
-kinetic_reactants Calcite Dolomite
-equilibrium O2g
SOLUTION 1
units mol/kgw
temp 25.0
water 1
pH 9.91 charge
pe 4.0
C 1.2279E-04
Ca 1.2279E-04
Cl 1E-12
Mg 1E-12
PURE 1
O2g -0.1675 10
KINETICS 1
Calcite
-m 0.00020
-parms 0.05
-tol 1e-10
Dolomite
-m 0.0
-parms 0.005
-tol 1e-10
END

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bench/dolo/dolo_inner.rds Normal file

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@ -0,0 +1,115 @@
rows <- 2000
cols <- 1000
grid_def <- matrix(2, nrow = rows, ncol = cols)
# Define grid configuration for POET model
grid_setup <- list(
pqc_in_file = "./dol.pqi",
pqc_db_file = "./phreeqc_kin.dat", # Path to the database file for Phreeqc
grid_def = grid_def, # Definition of the grid, containing IDs according to the Phreeqc input script
grid_size = c(cols, rows) / 100, # Size of the grid in meters
constant_cells = c() # IDs of cells with constant concentration
)
bound_size <- 2
diffusion_setup <- list(
inner_boundaries = list(
"row" = c(400, 1400, 1600),
"col" = c(200, 800, 800),
"sol_id" = c(3, 4, 4)
),
alpha_x = 1e-6,
alpha_y = 1e-6
)
check_sign_cal_dol_dht <- function(old, new) {
if ((old["Calcite"] == 0) != (new["Calcite"] == 0)) {
return(TRUE)
}
if ((old["Dolomite"] == 0) != (new["Dolomite"] == 0)) {
return(TRUE)
}
return(FALSE)
}
fuzz_input_dht_keys <- function(input) {
dht_species <- c(
"H" = 3,
"O" = 3,
"Charge" = 3,
"C(4)" = 6,
"Ca" = 6,
"Cl" = 3,
"Mg" = 5,
"Calcite" = 4,
"Dolomite" = 4
)
return(input[names(dht_species)])
}
check_sign_cal_dol_interp <- function(to_interp, data_set) {
dht_species <- c(
"H" = 3,
"O" = 3,
"Charge" = 3,
"C(4)" = 6,
"Ca" = 6,
"Cl" = 3,
"Mg" = 5,
"Calcite" = 4,
"Dolomite" = 4
)
data_set <- as.data.frame(do.call(rbind, data_set), check.names = FALSE, optional = TRUE)
names(data_set) <- names(dht_species)
cal <- (data_set$Calcite == 0) == (to_interp["Calcite"] == 0)
dol <- (data_set$Dolomite == 0) == (to_interp["Dolomite"] == 0)
cal_dol_same_sig <- cal == dol
return(rev(which(!cal_dol_same_sig)))
}
check_neg_cal_dol <- function(result) {
neg_sign <- (result["Calcite"] < 0) || (result["Dolomite"] < 0)
return(neg_sign)
}
# Optional when using Interpolation (example with less key species and custom
# significant digits)
pht_species <- c(
"C(4)" = 3,
"Ca" = 3,
"Mg" = 2,
"Calcite" = 2,
"Dolomite" = 2
)
chemistry_setup <- list(
dht_species = c(
"H" = 3,
"O" = 3,
"Charge" = 3,
"C(4)" = 6,
"Ca" = 6,
"Cl" = 3,
"Mg" = 5,
"Calcite" = 4,
"Dolomite" = 4
),
pht_species = pht_species,
hooks = list(
dht_fill = check_sign_cal_dol_dht,
dht_fuzz = fuzz_input_dht_keys,
interp_pre = check_sign_cal_dol_interp,
interp_post = check_neg_cal_dol
)
)
# Define a setup list for simulation configuration
setup <- list(
Grid = grid_setup, # Parameters related to the grid structure
Diffusion = diffusion_setup, # Parameters related to the diffusion process
Chemistry = chemistry_setup # Parameters related to the chemistry process
)

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iterations <- 500
dt <- 50
out_save <- seq(5, iterations, by = 5)
list(
timesteps = rep(dt, iterations),
store_result = TRUE,
out_save = out_save
)

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rows <- 400
cols <- 200
grid_def <- matrix(2, nrow = rows, ncol = cols)
# Define grid configuration for POET model
grid_setup <- list(
pqc_in_file = "./dol.pqi",
pqc_db_file = "./phreeqc_kin.dat", # Path to the database file for Phreeqc
grid_def = grid_def, # Definition of the grid, containing IDs according to the Phreeqc input script
grid_size = c(2.5, 5), # Size of the grid in meters
constant_cells = c() # IDs of cells with constant concentration
)
bound_def_we <- list(
"type" = rep("constant", rows),
"sol_id" = rep(1, rows),
"cell" = seq(1, rows)
)
bound_def_ns <- list(
"type" = rep("constant", cols),
"sol_id" = rep(1, cols),
"cell" = seq(1, cols)
)
diffusion_setup <- list(
boundaries = list(
"W" = bound_def_we,
"E" = bound_def_we,
"N" = bound_def_ns,
"S" = bound_def_ns
),
inner_boundaries = list(
"row" = floor(rows / 2),
"col" = floor(cols / 2),
"sol_id" = c(3)
),
alpha_x = 1e-6,
alpha_y = 1e-6
)
check_sign_cal_dol_dht <- function(old, new) {
# if ((old["Calcite"] == 0) != (new["Calcite"] == 0)) {
# return(TRUE)
# }
# if ((old["Dolomite"] == 0) != (new["Dolomite"] == 0)) {
# return(TRUE)
# }
return(FALSE)
}
# fuzz_input_dht_keys <- function(input) {
# dht_species <- c(
# "H" = 3,
# "O" = 3,
# "Charge" = 3,
# "C" = 6,
# "Ca" = 6,
# "Cl" = 3,
# "Mg" = 5,
# "Calcite" = 4,
# "Dolomite" = 4
# )
# return(input[names(dht_species)])
# }
check_sign_cal_dol_interp <- function(to_interp, data_set) {
dht_species <- c(
"H" = 3,
"O" = 3,
"Charge" = 3,
"C" = 6,
"Ca" = 6,
"Cl" = 3,
"Mg" = 5,
"Calcite" = 4,
"Dolomite" = 4
)
data_set <- as.data.frame(do.call(rbind, data_set), check.names = FALSE, optional = TRUE)
names(data_set) <- names(dht_species)
cal <- (data_set$Calcite == 0) == (to_interp["Calcite"] == 0)
dol <- (data_set$Dolomite == 0) == (to_interp["Dolomite"] == 0)
cal_dol_same_sig <- cal == dol
return(rev(which(!cal_dol_same_sig)))
}
check_neg_cal_dol <- function(result) {
neg_sign <- (result["Calcite"] < 0) || (result["Dolomite"] < 0)
return(neg_sign)
}
# Optional when using Interpolation (example with less key species and custom
# significant digits)
pht_species <- c(
"C" = 3,
"Ca" = 3,
"Mg" = 2,
"Calcite" = 2,
"Dolomite" = 2
)
chemistry_setup <- list(
dht_species = c(
"H" = 3,
"O" = 3,
"Charge" = 3,
"C" = 6,
"Ca" = 6,
"Cl" = 3,
"Mg" = 5,
"Calcite" = 4,
"Dolomite" = 4
),
pht_species = pht_species,
hooks = list(
dht_fill = check_sign_cal_dol_dht,
# dht_fuzz = fuzz_input_dht_keys,
interp_pre = check_sign_cal_dol_interp,
interp_post = check_neg_cal_dol
)
)
# Define a setup list for simulation configuration
setup <- list(
Grid = grid_setup, # Parameters related to the grid structure
Diffusion = diffusion_setup, # Parameters related to the diffusion process
Chemistry = chemistry_setup # Parameters related to the chemistry process
)

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@ -1,204 +0,0 @@
## Time-stamp: "Last modified 2023-08-16 14:57:25 mluebke"
database <- normalizePath("../share/poet/bench/dolo/phreeqc_kin.dat")
input_script <- normalizePath("../share/poet/bench/dolo/dolo_inner.pqi")
#################################################################
## Section 1 ##
## Grid initialization ##
#################################################################
n <- 400
m <- 200
types <- c("scratch", "phreeqc", "rds")
init_cell <- list(
"H" = 110.683,
"O" = 55.3413,
"Charge" = -5.0822e-19,
"C" = 1.2279E-4,
"Ca" = 1.2279E-4,
"Cl" = 0,
"Mg" = 0,
"O2g" = 0.499957,
"Calcite" = 2.07e-4,
"Dolomite" = 0
)
grid <- list(
n_cells = c(n, m),
s_cells = c(5, 2.5),
type = types[1]
)
##################################################################
## Section 2 ##
## Diffusion parameters and boundary conditions ##
##################################################################
## initial conditions
init_diffu <- list(
"H" = 1.110124E+02,
"O" = 5.550833E+01,
"Charge" = -1.216307659761E-09,
"C(4)" = 1.230067028174E-04,
"Ca" = 1.230067028174E-04,
"Cl" = 0,
"Mg" = 0
)
## diffusion coefficients
alpha_diffu <- c(
"H" = 1E-6,
"O" = 1E-6,
"Charge" = 1E-6,
"C(4)" = 1E-6,
"Ca" = 1E-6,
"Cl" = 1E-6,
"Mg" = 1E-6
)
## list of boundary conditions/inner nodes
vecinj_diffu <- list(
list(
"H" = 1.110124E+02,
"O" = 5.550796E+01,
"Charge" = -3.230390327801E-08,
"C(4)" = 0,
"Ca" = 0,
"Cl" = 0.002,
"Mg" = 0.001
),
list(
"H" = 110.683,
"O" = 55.3413,
"Charge" = 1.90431e-16,
"C(4)" = 0,
"Ca" = 0.0,
"Cl" = 0.004,
"Mg" = 0.002
),
init_diffu
)
vecinj_inner <- list(
l1 = c(1, floor(n / 2), floor(m / 2))
# l2 = c(2,1400,800),
# l3 = c(2,1600,800)
)
boundary <- list(
# "N" = c(1, rep(0, n-1)),
"N" = rep(3, n),
"E" = rep(3, m),
"S" = rep(3, n),
"W" = rep(3, m)
)
diffu_list <- names(alpha_diffu)
vecinj <- do.call(rbind.data.frame, vecinj_diffu)
names(vecinj) <- names(init_diffu)
diffusion <- list(
init = as.data.frame(init_diffu, check.names = FALSE),
vecinj = vecinj,
vecinj_inner = vecinj_inner,
vecinj_index = boundary,
alpha = alpha_diffu
)
#################################################################
## Section 3 ##
## Chemistry module (Phreeqc) ##
#################################################################
## # optional when using DHT
dht_species <- c(
"H" = 3,
"O" = 3,
"Charge" = 3,
"C(4)" = 6,
"Ca" = 6,
"Cl" = 3,
"Mg" = 5,
"Calcite" = 4,
"Dolomite" = 4
)
## # Optional when using Interpolation (example with less key species and custom
## # significant digits)
# pht_species <- c(
# "C(4)" = 3,
# "Ca" = 3,
# "Mg" = 2,
# "Calcite" = 2,
# "Dolomite" = 2
# )
check_sign_cal_dol_dht <- function(old, new) {
if ((old["Calcite"] == 0) != (new["Calcite"] == 0)) {
return(TRUE)
}
if ((old["Dolomite"] == 0) != (new["Dolomite"] == 0)) {
return(TRUE)
}
return(FALSE)
}
fuzz_input_dht_keys <- function(input) {
return(input[names(dht_species)])
}
check_sign_cal_dol_interp <- function(to_interp, data_set) {
data_set <- as.data.frame(do.call(rbind, data_set), check.names = FALSE, optional = TRUE)
names(data_set) <- names(dht_species)
cal <- (data_set$Calcite == 0) == (to_interp["Calcite"] == 0)
dol <- (data_set$Dolomite == 0) == (to_interp["Dolomite"] == 0)
cal_dol_same_sig <- cal == dol
return(rev(which(!cal_dol_same_sig)))
}
check_neg_cal_dol <- function(result) {
neg_sign <- (result["Calcite"] <- 0) || (result["Dolomite"] < 0)
return(any(neg_sign))
}
hooks <- list(
dht_fill = check_sign_cal_dol_dht,
dht_fuzz = fuzz_input_dht_keys,
interp_pre_func = check_sign_cal_dol_interp,
interp_post_func = check_neg_cal_dol
)
chemistry <- list(
database = database,
input_script = input_script,
dht_species = dht_species,
hooks = hooks
# pht_species = pht_species
)
#################################################################
## Section 4 ##
## Putting all those things together ##
#################################################################
iterations <- 20000
dt <- 200
setup <- list(
grid = grid,
diffusion = diffusion,
chemistry = chemistry,
iterations = iterations,
timesteps = rep(dt, iterations),
store_result = TRUE,
out_save = c(1, seq(50, iterations, by = 50))
)

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@ -0,0 +1,10 @@
iterations <- 20000
dt <- 200
out_save <- seq(50, iterations, by = 50)
list(
timesteps = rep(dt, iterations),
store_result = TRUE,
out_save = out_save
)

Binary file not shown.

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@ -0,0 +1,102 @@
% Created 2024-12-11 mer 23:24
% Intended LaTeX compiler: pdflatex
\documentclass[a4paper, 9pt]{article}
\usepackage[utf8]{inputenc}
\usepackage[T1]{fontenc}
\usepackage{graphicx}
\usepackage{longtable}
\usepackage{wrapfig}
\usepackage{rotating}
\usepackage[normalem]{ulem}
\usepackage{amsmath}
\usepackage{amssymb}
\usepackage{capt-of}
\usepackage{hyperref}
\usepackage{fullpage}
\usepackage{amsmath}
\usepackage{graphicx}
\usepackage{charter}
\usepackage{listings}
\lstloadlanguages{R}
\author{MDL <delucia@gfz.de>}
\date{2024-12-11}
\title{A \texttt{barite}-based benchmark for FGCS interpolation paper}
\begin{document}
\maketitle
\section{Description}
\label{sec:org739879a}
\begin{itemize}
\item \texttt{barite\_fgcs\_2.R}: POET input script with circular
"crystals" on a 200x200 nodes grid
\item \(\alpha\): isotropic 10\textsuperscript{-5}
m\textsuperscript{2}/s outside of the crystals,
10\textsuperscript{-7} inside
\item 200 iterations, dt = 1000
\item \texttt{barite\_fgcs\_2.pqi}: PHREEQC input, 4 SOLUTIONS
(basically the same as in \texttt{barite} benchmark):
\begin{enumerate}
\item Equilibrium with Celestite, no mineral \(Rightarrow\)
\item Equilibrium with Celestite, KINETICS Celestite (1 mol) and
Barite (0 mol)
\item Injection of 0.1 BaCl2 from NW corner
\item Injection of 0.2 BaCl2 from SE corner
\end{enumerate}
\item \texttt{db\_barite.dat}: PHREEQC database containing the kinetic
expressions for barite and celestite, stripped down from
\texttt{phreeqc.dat}
\end{itemize}
\begin{figure}[htbp]
\centering
\includegraphics[width=0.48\textwidth]{./fgcs_Celestite_init.pdf}
\includegraphics[width=0.48\textwidth]{./fgcs_Barite_200.pdf}
\caption{\textbf{Left:} Initial distribution of Celestite
"crystals". \textbf{Right:} precipitated Barite}
\end{figure}
\section{Interpolation}
\label{sec:org2a09431}
Using the following parametrization:
\begin{lstlisting}
dht_species <- c("H" = 7,
"O" = 7,
"Ba" = 7,
"Cl" = 7,
"S(6)" = 7,
"Sr" = 7,
"Barite" = 4,
"Celestite" = 4)
pht_species <- c("Ba" = 4,
"Cl" = 3,
"S(6)" = 3,
"Sr" = 3,
"Barite" = 2,
"Celestite" = 2 )
\end{lstlisting}
Runtime goes from 1800 to 600 s (21 CPUs) but there are "suspect"
errors especially in O and H, where "suspect" means some values appear
to be multiplied by 2:
\begin{figure}[htbp]
\centering
\includegraphics[width=0.9\textwidth]{./fgcs_interp_1.pdf}
\caption{Scatterplots reference vs interpolated after 1 coupling
iteration}
\end{figure}
\end{document}
%%% Local Variables:
%%% mode: LaTeX
%%% TeX-master: t
%%% End:

90
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## Time-stamp: "Last modified 2024-12-11 23:21:25 delucia"
library(PoetUtils)
library(viridis)
res <- ReadPOETSims("./res_fgcs2_96/")
pp <- PlotField(res$iter_200$C$Barite, rows = 200, cols = 200, contour = FALSE,
nlevels=12, palette=terrain.colors)
cairo_pdf("fgcs_Celestite_init.pdf", family="serif")
par(mar=c(0,0,0,0))
pp <- PlotField((res$iter_000$Celestite), rows = 200, cols = 200,
contour = FALSE, breaks=c(-0.5,0.5,1.5),
palette = grey.colors, plot.axes = FALSE, scale = FALSE,
main="Initial Celestite crystals")
dev.off()
cairo_pdf("fgcs_Ba_init.pdf", family="serif")
par(mar=c(0,0,0,0))
pp <- PlotField(log10(res$iter_001$C$Cl), rows = 200, cols = 200,
contour = FALSE,
palette = terrain.colors, plot.axes = FALSE, scale = FALSE,
main="log10(Ba)")
dev.off()
pp <- PlotField(log10(res$iter_002$C$Ba), rows = 200, cols = 200,
contour = FALSE, palette = viridis, rev.palette = FALSE,
main = "log10(Ba) after 5 iterations")
pp <- PlotField(log10(res$iter_200$C$`S(6)`), rows = 200, cols = 200, contour = FALSE)
str(res$iter_00)
res$iter_178$C$Barite
pp <- res$iter_043$C$Barite
breaks <- pretty(pp, n = 5)
br <- c(0, 0.0005, 0.001, 0.002, 0.005, 0.01, 0.02, 0.05, 0.1)
pp <- PlotField(res$iter_200$C$Barite, rows = 200, cols = 200, contour = FALSE,
breaks = br, palette=terrain.colors)
cairo_pdf("fgcs_Barite_200.pdf", family="serif")
pp <- PlotField(log10(res$iter_200$C$Barite), rows = 200, cols = 200,
contour = FALSE, palette = terrain.colors, plot.axes = FALSE,
rev.palette = FALSE, main = "log10(Barite) after 200 iter")
dev.off()
ref <- ReadPOETSims("./res_fgcs_2_ref")
rei <- ReadPOETSims("./res_fgcs_2_interp1/")
timref <- ReadRObj("./res_fgcs_2_ref/timings.qs")
timint <- ReadRObj("./res_fgcs_2_interp1/timings.qs")
timref
timint
wch <- c("H","O", "Ba", "Sr","Cl", "S(6)")
rf <- data.matrix(ref$iter_001$C[, wch])
r1 <- data.matrix(rei$iter_001$C[, wch])
r1[is.nan(r1)] <- NA
rf[is.nan(rf)] <- NA
cairo_pdf("fgcs_interp_1.pdf", family="serif", width = 10, height = 7)
PlotScatter(rf, r1, which = wch, labs = c("ref", "interp"), cols = 3, log="", las = 1, pch=4)
dev.off()
head(r1)
head(rf)
rf$O
r1$O

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@ -0,0 +1,2 @@
* Refer to the LaTeX file (and pdf) for more information

105
bench/fgcs/barite_fgcs_2.R Normal file
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## Time-stamp: "Last modified 2024-12-11 16:08:11 delucia"
cols <- 1000
rows <- 1000
dim_cols <- 50
dim_rows <- 50
ncirc <- 20 ## number of crystals
rmax <- cols / 10 ## max radius (in nodes)
set.seed(22933)
centers <- cbind(sample(seq_len(cols), ncirc), sample(seq_len(rows), ncirc))
radii <- sample(seq_len(rmax), ncirc, replace = TRUE)
mi <- matrix(rep(seq_len(cols), rows), byrow = TRUE, nrow = rows)
mj <- matrix(rep(seq_len(cols), each = rows), byrow = TRUE, nrow = rows)
tmpl <- lapply(seq_len(ncirc), function(x) which((mi - centers[x, 1])^2 + (mj - centers[x, 2])^2 < radii[x]^2, arr.ind = TRUE))
inds <- do.call(rbind, tmpl)
grid <- matrix(1, nrow = rows, ncol = cols)
grid[inds] <- 2
alpha <- matrix(1e-5, ncol = cols, nrow = rows)
alpha[inds] <- 1e-7
## image(grid, asp=1)
## Define grid configuration for POET model
grid_setup <- list(
pqc_in_file = "./barite_fgcs_2.pqi",
pqc_db_file = "../barite/db_barite.dat", ## database file
grid_def = grid, ## grid definition, IDs according to the Phreeqc input
grid_size = c(dim_cols, dim_rows), ## grid size in meters
constant_cells = c() ## IDs of cells with constant concentration
)
bound_length <- cols / 10
bound_N <- list(
"type" = rep("constant", bound_length),
"sol_id" = rep(3, bound_length),
"cell" = seq(1, bound_length)
)
bound_W <- list(
"type" = rep("constant", bound_length),
"sol_id" = rep(3, bound_length),
"cell" = seq(1, bound_length)
)
bound_E <- list(
"type" = rep("constant", bound_length),
"sol_id" = rep(4, bound_length),
"cell" = seq(rows - bound_length + 1, rows)
)
bound_S <- list(
"type" = rep("constant", bound_length),
"sol_id" = rep(4, bound_length),
"cell" = seq(cols - bound_length + 1, cols)
)
diffusion_setup <- list(
boundaries = list(
"W" = bound_W,
"N" = bound_N,
"E" = bound_E,
"S" = bound_S
),
alpha_x = alpha,
alpha_y = alpha
)
dht_species <- c(
"H" = 7,
"O" = 7,
"Ba" = 7,
"Cl" = 7,
"S" = 7,
"Sr" = 7,
"Barite" = 4,
"Celestite" = 4
)
pht_species <- c(
"Ba" = 4,
"Cl" = 3,
"S" = 3,
"Sr" = 3,
"Barite" = 0,
"Celestite" = 0
)
chemistry_setup <- list(
dht_species = dht_species,
pht_species = pht_species
)
## Define a setup list for simulation configuration
setup <- list(
Grid = grid_setup, ## Parameters related to the grid structure
Diffusion = diffusion_setup, ## Parameters related to the diffusion process
Chemistry = chemistry_setup
)

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@ -0,0 +1,49 @@
SOLUTION 1
units mol/kgw
water 1
temperature 25
pH 7.008
pe 10.798
S 6.205e-04
Sr 6.205e-04
END
SOLUTION 2
units mol/kgw
water 1
temperature 25
pH 7.008
pe 10.798
S 6.205e-04
Sr 6.205e-04
KINETICS 2
Barite
-m 0.00
-parms 50. # reactive surface area
-tol 1e-9
Celestite
-m 1
-parms 10.0 # reactive surface area
-tol 1e-9
END
SOLUTION 3
units mol/kgw
water 1
temperature 25
Ba 0.1
Cl 0.2
END
SOLUTION 4
units mol/kgw
water 1
temperature 25
Ba 0.2
Cl 0.4
END
RUN_CELLS
-cells 1 2 3 4
END

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@ -0,0 +1,7 @@
iterations <- 200
dt <- 1000
list(
timesteps = rep(dt, iterations),
store_result = TRUE
)

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@ -1,9 +1,20 @@
install(FILES
ExBase.pqi
ex.R
surfex.R
SurfExBase.pqi
SMILE_2021_11_01_TH.dat
DESTINATION
share/poet/bench/surfex
set(bench_files
# surfex.R
# ex.R
PoetEGU_surfex_500.R
)
set(runtime_files
# surfex_rt.R
# ex_rt.R
PoetEGU_surfex_500_rt.R
)
ADD_BENCH_TARGET(
surfex_bench
bench_files
runtime_files
"surfex"
)
add_dependencies(${BENCHTARGET} surfex_bench)

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@ -37,3 +37,27 @@ EXCHANGE 1
Z 0.0012585
Y 0.0009418
END
SOLUTION 2
temp 13
units mol/kgw
C(-4) 2.92438561098248e-21
C(4) 2.65160558871092e-06
Ca 2.89001071336443e-05
Cl 0.000429291158114428
Fe(2) 1.90823391198114e-07
Fe(3) 3.10832423034763e-12
H(0) 2.7888235127385e-15
K 2.5301787e-06
Mg 2.31391999937907e-05
Na 0.00036746969
S(-2) 1.01376078438546e-14
S(2) 1.42247026981542e-19
S(4) 9.49422092568557e-18
S(6) 2.19812504654191e-05
Sr 6.01218519999999e-07
U(4) 4.82255946569383e-12
U(5) 5.49050615347901e-13
U(6) 1.32462838991902e-09
END

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@ -0,0 +1,40 @@
rows <- 500
cols <- 200
grid_left <- matrix(1, nrow = rows, ncol = cols/2)
grid_rght <- matrix(2, nrow = rows, ncol = cols/2)
grid_def <- cbind(grid_left, grid_rght)
# Define grid configuration for POET model
grid_setup <- list(
pqc_in_file = "./SurfexEGU.pqi",
pqc_db_file = "./SMILE_2021_11_01_TH.dat", # Path to the database file for Phreeqc
grid_def = grid_def, # Definition of the grid, containing IDs according to the Phreeqc input script
grid_size = c(10, 4), # Size of the grid in meters
constant_cells = c() # IDs of cells with constant concentration
)
bound_def <- list(
"type" = rep("constant", cols),
"sol_id" = rep(3, cols),
"cell" = seq(1, cols)
)
diffusion_setup <- list(
boundaries = list(
"N" = bound_def
),
alpha_x = matrix(runif(rows*cols))*1e-8,
alpha_y = matrix(runif(rows*cols))*1e-9## ,1e-10
)
chemistry_setup <- list()
# Define a setup list for simulation configuration
setup <- list(
Grid = grid_setup, # Parameters related to the grid structure
Diffusion = diffusion_setup, # Parameters related to the diffusion process
Chemistry = chemistry_setup # Parameters related to the chemistry process
)

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@ -0,0 +1,11 @@
iterations <- 200
dt <- 1000
out_save <- c(1, 2, seq(5, iterations, by=5))
## out_save <- seq(1, iterations)
list(
timesteps = rep(dt, iterations),
store_result = TRUE,
out_save = out_save
)

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@ -20,7 +20,7 @@ mpirun -np 4 ./poet surfex.R surfex_res
- =ex.R=: POET input script for a 100x100 simulation grid, only
exchange
- =ExBase.pqi=: PHREEQC input script for the =ex.R= model
- =surfex.R=: POET input script for a 100x100 simulation grid
- =surfex.R=: POET input script for a 1000x1000 simulation grid
considering both cation exchange and surface complexation
- =SurfExBase.pqi=: PHREEQC input script for the =surfex.R= model
- =SMILE_2021_11_01_TH.dat=: PHREEQC database containing the

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@ -54,3 +54,27 @@ EXCHANGE 1
Z 0.0012585
Y 0.0009418
END
SOLUTION 2
temp 13
units mol/kgw
C(-4) 2.92438561098248e-21
C(4) 2.65160558871092e-06
Ca 2.89001071336443e-05
Cl 0.000429291158114428
Fe(2) 1.90823391198114e-07
Fe(3) 3.10832423034763e-12
H(0) 2.7888235127385e-15
K 2.5301787e-06
Mg 2.31391999937907e-05
Na 0.00036746969
S(-2) 1.01376078438546e-14
S(2) 1.42247026981542e-19
S(4) 9.49422092568557e-18
S(6) 2.19812504654191e-05
Sr 6.01218519999999e-07
U(4) 4.82255946569383e-12
U(5) 5.49050615347901e-13
U(6) 1.32462838991902e-09
END

108
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@ -0,0 +1,108 @@
## Time-stamp: "Last modified 2024-04-12 10:59:59 delucia"
## KNOBS
## -logfile false
## -iterations 10000
## -convergence_tolerance 1E-12
## -step_size 2
## -pe_step_size 2
SOLUTION 1 ## Porewater composition Opalinus Clay, WITHOUT radionuclides, AFTER EQUI_PHASES
pe -2.627 ## Eh = -227 mV, Value from Bossart & Thury (2008)-> PC borehole measurement 2003, Eh still decreasing
density 1.01583 ## kg/dm³ = g/cm³
temp 13 ## mean temperature Mont Terri, Bossart & Thury (2008), calculations performed for 25°C
units mol/kgw
## Mean composition
pH 7.064
Na 2.763e-01
Cl 3.228e-01 charge
S(6) 1.653e-02 as SO4
Ca 2.173e-02
Mg 1.740e-02
K 1.902e-03
Sr 4.520e-04
Fe 1.435e-04
U 2.247e-09
SURFACE 1 Opalinus Clay, clay minerals
## calculated with rho_b=2.2903 kg/dm³, poro=0.1662
## 1 dm³ = 13.565641 kg_sed/kg_pw
-equil 1 ## equilibrate with solution 1
-sites_units density ## set unit for binding site density to sites/nm2
-donnan 4.9e-10 ## calculated after Wigger & Van Loon (2018) for ionic strength after equilibration with minerales for pCO2=2.2 log10 bar
# surface density SSA (m2/g) mass (g/kgw)
Kln_aOH 1.155 11. 3798.4 ## Kaolinite 28 wt% (aluminol and silanol sites)
Kln_siOH 1.155
Ill_sOH 0.05 100. 4205.35 ## Illite 31 wt% (weak und strong binding sites)
Ill_wOH 2.26 ## 2 % strong binding sites
Mll_sOH 0.05 100. 813.94 ## Montmorillonite = smektite = 6 wt% (weak und strong binding sites)
Mll_wOH 2.26 ## 2 % strong binding sites
EXCHANGE 1 Exchanger, only illite+montmorillonite
## Illite = 0.225 eq/kg_rock, Montmorillonit = 0.87 eq/kg_rock
-equil 1 ## equilibrate with solution 1
Z 0.9462 ## = Illite
Y 0.70813 ## = Montmorillonite
END
SOLUTION 2 ## Porewater composition Opalinus Clay, WITHOUT radionuclides, AFTER EQUI_PHASES
pe -2.627 ## Eh = -227 mV, Value from Bossart & Thury (2008)-> PC borehole measurement 2003, Eh still decreasing
density 1.01583 ## kg/dm³ = g/cm³
temp 13 ## mean temperature Mont Terri, Bossart & Thury (2008), calculations performed for 25°C
units mol/kgw
## Mean composition
pH 7.064
Na 2.763e-01
Cl 3.228e-01 charge
S(6) 1.653e-02 as SO4
Ca 2.173e-02
Mg 1.740e-02
K 1.902e-03
Sr 4.520e-04
Fe 1.435e-04
U 2.247e-09
SURFACE 2 Opalinus Clay, clay minerals
-equil 2 ## equilibrate with solution 2
-sites_units density ## set unit for binding site density to
## sites/nm2
-donnan 4.9e-10 ## calculated after Wigger & Van Loon (2018)
## for ionic strength after equilibration
## with minerales for pCO2=2.2 log10 bar
## surface density SSA (m2/g) mass (g/kgw)
Kln_aOH 1.155 11. 2798.4 ## Kaolinite 28 wt% (aluminol and silanol sites)
Kln_siOH 1.155
Ill_sOH 0.05 100. 1205.35 ## Illite 31 wt% (weak und strong binding sites)
Ill_wOH 2.26 ## 2 % strong binding sites
Mll_sOH 0.05 100. 113.94 ## Montmorillonite = smektite = 6 wt% (weak und strong binding sites)
Mll_wOH 2.26 ## 2 % strong binding sites
EXCHANGE 2 Exchanger, only illite+montmorillonite
## Illite = 0.225 eq/kg_rock, Montmorillonit = 0.87 eq/kg_rock
-equil 2 ## equilibrate with solution 1
Z 0.5 ## = Illite
Y 0.2 ## = Montmorillonite
END
SOLUTION 3
pe -2.627 ## Eh = -227 mV, Value from Bossart & Thury (2008)-> PC borehole measurement 2003, Eh still decreasing
density 1.01583 ## kg/dm³ = g/cm³
temp 13 ## mean temperature Mont Terri, Bossart & Thury (2008), calculations performed for 25°C
units mol/kgw
## Mean composition
pH 7.064
Na 3.763e-01
Cl 4.228e-01 charge
S(6) 1.653e-02 as SO4
Ca 2.173e-02
Mg 1.740e-02
K 1.902e-03
Sr 4.520e-04
Fe 1.435e-04
U 1e-6
C 1.991e-03
END
RUN_CELLS
END

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@ -1,140 +1,37 @@
## Time-stamp: "Last modified 2023-08-02 13:59:35 mluebke"
rows <- 100
cols <- 100
database <- normalizePath("./SMILE_2021_11_01_TH.dat")
input_script <- normalizePath("./ExBase.pqi")
grid_def <- matrix(1, nrow = rows, ncol = cols)
cat(paste(":: R This is a test 1\n"))
# Define grid configuration for POET model
grid_setup <- list(
pqc_in_file = "./SurfExBase.pqi",
pqc_db_file = "./SMILE_2021_11_01_TH.dat", # Path to the database file for Phreeqc
grid_def = grid_def, # Definition of the grid, containing IDs according to the Phreeqc input script
grid_size = c(1, 1), # Size of the grid in meters
constant_cells = c() # IDs of cells with constant concentration
)
#################################################################
## Section 1 ##
## Grid initialization ##
#################################################################
bound_def <- list(
"type" = rep("constant", cols),
"sol_id" = rep(2, cols),
"cell" = seq(1, cols)
)
n <- 100
m <- 100
types <- c("scratch", "phreeqc", "rds")
init_cell <- list(H = 1.476571028625e-01,
O = 7.392297218936e-02,
Charge = -1.765225732724e-18,
`C(-4)` = 2.477908970828e-21,
`C(4)` = 2.647623016916e-06,
Ca = 2.889623169138e-05,
Cl = 4.292806181039e-04,
`Fe(2)` =1.908142472666e-07,
`Fe(3)` =3.173306589931e-12,
`H(0)` =2.675642675119e-15,
K = 2.530134809667e-06,
Mg =2.313806319294e-05,
Na =3.674633059628e-04,
`S(-2)` = 8.589766637180e-15,
`S(2)` = 1.205284362720e-19,
`S(4)` = 9.108958772790e-18,
`S(6)` = 2.198092329098e-05,
Sr = 6.012080128154e-07,
`U(4)` = 1.039668623852e-14,
`U(5)` = 1.208394829796e-15,
`U(6)` = 2.976409147150e-12)
grid <- list(
n_cells = c(n, m),
s_cells = c(1, 1),
type = "scratch"
diffusion_setup <- list(
boundaries = list(
"N" = bound_def
),
alpha_x = 1e-6,
alpha_y = 1e-6
)
##################################################################
## Section 2 ##
## Diffusion parameters and boundary conditions ##
##################################################################
vecinj_diffu <- list(
list(H = 0.147659686316291,
O = 0.0739242798146046,
Charge = 7.46361643222701e-20,
`C(-4)` = 2.92438561098248e-21,
`C(4)` = 2.65160558871092e-06,
Ca = 2.89001071336443e-05,
Cl = 0.000429291158114428,
`Fe(2)` = 1.90823391198114e-07,
`Fe(3)` = 3.10832423034763e-12,
`H(0)` = 2.7888235127385e-15,
K = 2.5301787e-06,
Mg = 2.31391999937907e-05,
Na = 0.00036746969,
`S(-2)` = 1.01376078438546e-14,
`S(2)` = 1.42247026981542e-19,
`S(4)` = 9.49422092568557e-18,
`S(6)` = 2.19812504654191e-05,
Sr = 6.01218519999999e-07,
`U(4)` = 4.82255946569383e-12,
`U(5)` = 5.49050615347901e-13,
`U(6)` = 1.32462838991902e-09)
)
vecinj <- do.call(rbind.data.frame, vecinj_diffu)
names(vecinj) <- grid$props
## diffusion coefficients
alpha_diffu <- c(H = 1E-6, O = 1E-6, Charge = 1E-6, `C(-4)` = 1E-6,
`C(4)` = 1E-6, Ca = 1E-6, Cl = 1E-6, `Fe(2)` = 1E-6,
`Fe(3)` = 1E-6, `H(0)` = 1E-6, K = 1E-6, Mg = 1E-6,
Na = 1E-6, `S(-2)` = 1E-6, `S(2)` = 1E-6,
`S(4)` = 1E-6, `S(6)` = 1E-6, Sr = 1E-6,
`U(4)` = 1E-6, `U(5)` = 1E-6, `U(6)` = 1E-6)
## list of boundary conditions/inner nodes
## vecinj_inner <- list(
## list(1,1,1)
## )
boundary <- list(
"N" = rep(1, n),
"E" = rep(0, n),
"S" = rep(0, n),
"W" = rep(0, n)
)
diffu_list <- names(alpha_diffu)
vecinj <- do.call(rbind.data.frame, vecinj_diffu)
names(vecinj) <- names(init_cell)
diffusion <- list(
init = as.data.frame(init_cell, check.names = FALSE),
vecinj = vecinj,
# vecinj_inner = vecinj_inner,
vecinj_index = boundary,
alpha = alpha_diffu
)
#################################################################
## Section 3 ##
## Chemistry module (Phreeqc) ##
#################################################################
chemistry <- list(
database = database,
input_script = input_script
)
#################################################################
## Section 4 ##
## Putting all those things together ##
#################################################################
iterations <- 10
dt <- 200
chemistry_setup <- list()
# Define a setup list for simulation configuration
setup <- list(
grid = grid,
diffusion = diffusion,
chemistry = chemistry,
iterations = iterations,
timesteps = rep(dt, iterations),
store_result = TRUE
)
Grid = grid_setup, # Parameters related to the grid structure
Diffusion = diffusion_setup, # Parameters related to the diffusion process
Chemistry = chemistry_setup # Parameters related to the chemistry process
)

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@ -0,0 +1,7 @@
iterations <- 10
dt <- 200
list(
timesteps = rep(dt, iterations),
store_result = TRUE
)

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@ -1,141 +1,37 @@
## Time-stamp: "Last modified 2023-08-02 13:59:44 mluebke"
rows <- 1000
cols <- 1000
database <- normalizePath("../share/poet/bench/surfex/SMILE_2021_11_01_TH.dat")
input_script <- normalizePath("../share/poet/bench/surfex/SurfExBase.pqi")
grid_def <- matrix(1, nrow = rows, ncol = cols)
cat(paste(":: R This is a test 1\n"))
# Define grid configuration for POET model
grid_setup <- list(
pqc_in_file = "./SurfExBase.pqi",
pqc_db_file = "./SMILE_2021_11_01_TH.dat", # Path to the database file for Phreeqc
grid_def = grid_def, # Definition of the grid, containing IDs according to the Phreeqc input script
grid_size = c(rows, cols) / 10, # Size of the grid in meters
constant_cells = c() # IDs of cells with constant concentration
)
#################################################################
## Section 1 ##
## Grid initialization ##
#################################################################
bound_def <- list(
"type" = rep("constant", cols),
"sol_id" = rep(2, cols),
"cell" = seq(1, cols)
)
n <- 10
m <- 10
types <- c("scratch", "phreeqc", "rds")
init_cell <- list(H = 1.476571028625e-01,
O = 7.392297218936e-02,
Charge = -1.765225732724e-18,
`C(-4)` = 2.477908970828e-21,
`C(4)` = 2.647623016916e-06,
Ca = 2.889623169138e-05,
Cl = 4.292806181039e-04,
`Fe(2)` =1.908142472666e-07,
`Fe(3)` =3.173306589931e-12,
`H(0)` =2.675642675119e-15,
K = 2.530134809667e-06,
Mg =2.313806319294e-05,
Na =3.674633059628e-04,
`S(-2)` = 8.589766637180e-15,
`S(2)` = 1.205284362720e-19,
`S(4)` = 9.108958772790e-18,
`S(6)` = 2.198092329098e-05,
Sr = 6.012080128154e-07,
`U(4)` = 1.039668623852e-14,
`U(5)` = 1.208394829796e-15,
`U(6)` = 2.976409147150e-12)
grid <- list(
n_cells = c(n, m),
s_cells = c(1, 1),
type = "scratch"
diffusion_setup <- list(
boundaries = list(
"N" = bound_def
),
alpha_x = 1e-6,
alpha_y = 1e-6
)
##################################################################
## Section 2 ##
## Diffusion parameters and boundary conditions ##
##################################################################
vecinj_diffu <- list(
list(H = 0.147659686316291,
O = 0.0739242798146046,
Charge = 7.46361643222701e-20,
`C(-4)` = 2.92438561098248e-21,
`C(4)` = 2.65160558871092e-06,
Ca = 2.89001071336443e-05,
Cl = 0.000429291158114428,
`Fe(2)` = 1.90823391198114e-07,
`Fe(3)` = 3.10832423034763e-12,
`H(0)` = 2.7888235127385e-15,
K = 2.5301787e-06,
Mg = 2.31391999937907e-05,
Na = 0.00036746969,
`S(-2)` = 1.01376078438546e-14,
`S(2)` = 1.42247026981542e-19,
`S(4)` = 9.49422092568557e-18,
`S(6)` = 2.19812504654191e-05,
Sr = 6.01218519999999e-07,
`U(4)` = 4.82255946569383e-12,
`U(5)` = 5.49050615347901e-13,
`U(6)` = 1.32462838991902e-09)
)
vecinj <- do.call(rbind.data.frame, vecinj_diffu)
names(vecinj) <- grid$props
## diffusion coefficients
alpha_diffu <- c(H = 1E-6, O = 1E-6, Charge = 1E-6, `C(-4)` = 1E-6,
`C(4)` = 1E-6, Ca = 1E-6, Cl = 1E-6, `Fe(2)` = 1E-6,
`Fe(3)` = 1E-6, `H(0)` = 1E-6, K = 1E-6, Mg = 1E-6,
Na = 1E-6, `S(-2)` = 1E-6, `S(2)` = 1E-6,
`S(4)` = 1E-6, `S(6)` = 1E-6, Sr = 1E-6,
`U(4)` = 1E-6, `U(5)` = 1E-6, `U(6)` = 1E-6)
## list of boundary conditions/inner nodes
## vecinj_inner <- list(
## list(1,1,1)
## )
boundary <- list(
"N" = rep(1, n),
"E" = rep(0, n),
"S" = rep(0, n),
"W" = rep(0, n)
)
diffu_list <- names(alpha_diffu)
vecinj <- do.call(rbind.data.frame, vecinj_diffu)
names(vecinj) <- names(init_cell)
diffusion <- list(
init = as.data.frame(init_cell, check.names = FALSE),
vecinj = vecinj,
# vecinj_inner = vecinj_inner,
vecinj_index = boundary,
alpha = alpha_diffu
)
#################################################################
## Section 3 ##
## Chemistry module (Phreeqc) ##
#################################################################
chemistry <- list(
database = database,
input_script = input_script
)
#################################################################
## Section 4 ##
## Putting all those things together ##
#################################################################
iterations <- 10
dt <- 200
chemistry_setup <- list()
# Define a setup list for simulation configuration
setup <- list(
grid = grid,
diffusion = diffusion,
chemistry = chemistry,
iterations = iterations,
timesteps = rep(dt, iterations),
store_result = TRUE,
out_save = c(5, iterations)
)
Grid = grid_setup, # Parameters related to the grid structure
Diffusion = diffusion_setup, # Parameters related to the diffusion process
Chemistry = chemistry_setup # Parameters related to the chemistry process
)

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@ -0,0 +1,10 @@
iterations <- 100
dt <- 200
out_save <- seq(5, iterations, by = 5)
list(
timesteps = rep(dt, iterations),
store_result = TRUE,
out_save = out_save
)

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@ -12,9 +12,8 @@ if(DOXYGEN_FOUND)
set(DOXYGEN_PROJECT_NUMBER ${POET_VERSION})
doxygen_add_docs(doxygen
${PROJECT_SOURCE_DIR}/include
${PROJECT_SOURCE_DIR}/src
${PROJECT_SOURCE_DIR}/README.md
${PROJECT_SOURCE_DIR}/docs/Input_Scripts.md
${PROJECT_SOURCE_DIR}/docs/Output.md
COMMENT "Generate html pages")
endif()

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@ -1,86 +0,0 @@
# Input Scripts
In the following the expected schemes of the input scripts is described.
Therefore, each section of the input script gets its own chapter. All sections
should return a `list` as results, which are concatenated to one setup list at
the end of the file. All values must have the same name in order to get parsed
by POET.
## Grid initialization
| name | type | description |
|----------------|----------------|-----------------------------------------------------------------------|
| `n_cells` | Numeric Vector | Number of cells in each direction |
| `s_cells` | Numeric Vector | Spatial resolution of grid in each direction |
| `type` | String | Type of initialization, can be set to *scratch*, *phreeqc* or *rds* |
## Diffusion parameters
| name | type | description |
|----------------|----------------------|-------------------------------------------|
| `init` | Named Numeric Vector | Initial state for each diffused species |
| `vecinj` | Data Frame | Defining all boundary conditions row wise |
| `vecinj_inner` | List of Triples | Inner boundaries |
| `vecinj_index` | List of 4 elements | Ghost nodes boundary conditions |
| `alpha` | Named Numeric Vector | Constant alpha for each species |
### Remark on boundary conditions
Each boundary condition should be defined in `vecinj` as a data frame, where one
row holds one boundary condition.
To define inner (constant) boundary conditions, use a list of triples in
`vecinj_inner`, where each triples is defined by $(i,x,y)$. $i$ is defining the
boundary condition, referencing to the row in `vecinj`. $x$ and $y$ coordinates
then defining the position inside the grid.
Ghost nodes are set by `vecinj_index` which is a list containing boundaries for
each celestial direction (**important**: named by `N, E, S, W`). Each direction
is a numeric vector, also representing a row index of the `vecinj` data frame
for each ghost node, starting at the left-most and upper cell respectively. By
setting the boundary condition to $0$, the ghost node is set as closed boundary.
#### Example
Suppose you have a `vecinj` data frame defining 2 boundary conditions and a grid
consisting of $10 \times 10$ grid cells. Grid cell $(1,1)$ should be set to the
first boundary condition and $(5,6)$ to the second. Also, all boundary
conditions for the ghost nodes should be closed. Except the southern boundary,
which should be set to the first boundary condition injection. The following
setup describes how to setup your initial script, where `n` and `m` are the
grids cell count for each direction ($n = m = 10$):
```R
vecinj_inner <- list (
l1 = c(1, 1, 1),
l2 = c(2, 5, 6)
)
vecinj_index <- list(
"N" = rep(0, n),
"E" = rep(0, m),
"S" = rep(1, n),
"W" = rep(0, m)
)
```
## Chemistry parameters
| name | type | description |
|----------------|--------------|----------------------------------------------------------------------------------|
| `database` | String | Path to the Phreeqc database |
| `input_script` | String | Path the the Phreeqc input script |
| `dht_species` | Named Vector | Indicates significant digits to use for each species for DHT rounding. |
| `pht_species` | Named Vector | Indicates significant digits to use for each species for Interpolation rounding. |
## Final setup
| name | type | description |
|----------------|----------------|------------------------------------------------------------|
| `grid` | List | Grid parameter list |
| `diffusion` | List | Diffusion parameter list |
| `chemistry` | List | Chemistry parameter list |
| `iterations` | Numeric Value | Count of iterations |
| `timesteps` | Numeric Vector | $\Delta t$ to use for specific iteration |
| `store_result` | Boolean | Indicates if results should be stored |
| `out_save` | Numeric Vector | *optional:* At which iteration the states should be stored |

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@ -35,34 +35,50 @@ corresponding values can be found in `<OUTPUT_DIRECTORY>/timings.rds`
and possible to read out within a R runtime with
`readRDS("timings.rds")`. There you will find the following values:
| Value | Description |
|--------------------|----------------------------------------------------------------------------|
| simtime | time spent in whole simulation loop without any initialization and cleanup |
| simtime\_transport | measured time in *transport* subroutine |
| simtime\_chemistry | measured time in *chemistry* subroutine (actual parallelized part) |
| Value | Description |
| --------- | -------------------------------------------------------------------------- |
| simtime | time spent in whole simulation loop without any initialization and cleanup |
| chemistry | measured time in *chemistry* subroutine |
| diffusion | measured time in *diffusion* subroutine |
### chemistry subsetting
### Chemistry subsetting
If running parallel there are also measured timings which are subsets of
*simtime\_chemistry*.
| Value | Description |
| ------------- | --------------------------------------------------------- |
| simtime | overall runtime of chemistry |
| loop | time spent in send/recv loop of master |
| sequential | sequential part of the master (e.g. shuffling field) |
| idle\_master | idling time of the master waiting for workers |
| idle\_worker | idling time (waiting for work from master) of the workers |
| phreeqc\_time | accumulated times for Phreeqc calls of every worker |
| Value | Description |
|-----------------------|-----------------------------------------------------------|
| chemistry\_loop | time spent in send/recv loop of master |
| chemistry\_sequential | sequential part of master chemistry |
| idle\_master | idling time (waiting for any free worker) of the master |
| idle\_worker | idling time (waiting for work from master) of the workers |
| phreeqc\_time | accumulated times for Phreeqc calls of every worker |
### DHT usage {#DHT-usage}
#### DHT usage
If running in parallel and with activated DHT, two more timings and also
some profiling about the DHT usage are given:
| Value | Description |
|-----------------|---------------------------------------------------------|
| dht\_fill\_time | time to write data to DHT |
| dht\_get\_time | time to retreive data from DHT |
| dh\_hits | count of data points retrieved from DHT |
| dht\_miss | count of misses/count of data points written to DHT |
| --------------- | ------------------------------------------------------- |
| dht\_hits | count of data points retrieved from DHT |
| dht\_evictions | count of data points evicted by another write operation |
| dht\_get\_time | time to retreive data from DHT |
| dht\_fill\_time | time to write data to DHT |
#### Interpolation
If using interpolation, the following values are given:
| Value | Description |
| -------------- | --------------------------------------------------------------------- |
| interp\_w | time spent to write to PHT |
| interp\_r | time spent to read from DHT/PHT/Cache |
| interp\_g | time spent to gather results from DHT |
| interp\_fc | accumulated time spent in interpolation function call |
| interp\_calls | count of interpolations |
| interp\_cached | count of interpolation data sets, which where cached in the local map |
### Diffusion subsetting
| Value | Description |
| --------- | ------------------------------------------ |
| simtime | overall runtime of diffusion |

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/*
** Copyright (C) 2018-2021 Alexander Lindemann, Max Luebke (University of
** Potsdam)
**
** Copyright (C) 2018-2023 Marco De Lucia, Max Luebke (GFZ Potsdam)
**
** POET is free software; you can redistribute it and/or modify it under the
** terms of the GNU General Public License as published by the Free Software
** Foundation; either version 2 of the License, or (at your option) any later
** version.
**
** POET is distributed in the hope that it will be useful, but WITHOUT ANY
** WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
** A PARTICULAR PURPOSE. See the GNU General Public License for more details.
**
** You should have received a copy of the GNU General Public License along with
** this program; if not, write to the Free Software Foundation, Inc., 51
** Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
#ifndef GRID_H
#define GRID_H
#include "poet/SimParams.hpp"
#include <RInside.h>
#include <Rcpp.h>
#include <array>
#include <cstddef>
#include <cstdint>
#include <list>
#include <map>
#include <string>
#include <vector>
#define MAX_DIM 2
namespace poet {
enum { GRID_X_DIR, GRID_Y_DIR, GRID_Z_DIR };
using StateMemory = struct s_StateMemory {
std::vector<double> mem;
std::vector<std::string> props;
};
using FlowInputOutputInfo = struct inOut_info {
std::string input_field;
std::string output_field;
};
constexpr const char *GRID_MODULE_NAME = "grid_init";
/**
* @brief Class describing the grid
*
* Providing methods to shuffle and unshuffle grid (for the master) as also to
* import and export a work package (for worker).
*
* @todo find better abstraction
*
*/
class Grid {
public:
Grid();
~Grid();
void InitModuleFromParams(const poet::GridParams &grid_args);
void SetGridDimension(uint8_t dim);
void SetGridCellCount(uint32_t n_x, uint32_t n_y = 0, uint32_t n_z = 0);
void SetGridSize(double s_x, double s_y = 0., double s_z = 0.);
void SetPropNames(const std::vector<std::string> &prop_names);
void PushbackModuleFlow(const std::string &input, const std::string &output);
void PreModuleFieldCopy(uint32_t tick);
void InitGridFromScratch(const Rcpp::DataFrame &init_cell);
void InitGridFromRDS();
void InitGridFromPhreeqc();
auto GetGridDimension() const -> uint8_t;
auto GetTotalCellCount() const -> uint32_t;
auto GetGridCellsCount(uint8_t direction) const -> uint32_t;
auto GetGridSize(uint8_t direction) const -> uint32_t;
auto RegisterState(std::string module_name, std::vector<std::string> props)
-> StateMemory *;
auto GetStatePointer(std::string module_name) -> StateMemory *;
auto GetInitialGrid() const -> StateMemory *;
auto GetSpeciesCount() const -> uint32_t;
auto GetPropNames() const -> std::vector<std::string>;
auto GetSpeciesByName(std::string name,
std::string module_name = poet::GRID_MODULE_NAME) const
-> std::vector<double>;
void WriteFieldsToR(RInside &R);
private:
std::vector<FlowInputOutputInfo> flow_vec;
std::uint8_t dim = 0;
std::array<double, MAX_DIM> grid_size;
std::array<std::uint32_t, MAX_DIM> n_cells;
std::map<std::string, StateMemory *> state_register;
StateMemory *grid_init = std::nullptr_t();
std::vector<std::string> prop_names;
};
} // namespace poet
#endif // GRID_H

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#ifndef RPOET_H_
#define RPOET_H_
#include <RInside.h>
#include <Rcpp.h>
#include <cstddef>
#include <exception>
#include <optional>
#include <stdexcept>
#include <string>
#include <utility>
#include <vector>
class RInsidePOET : public RInside {
public:
static RInsidePOET &getInstance() {
static RInsidePOET instance;
return instance;
}
RInsidePOET(RInsidePOET const &) = delete;
void operator=(RInsidePOET const &) = delete;
inline bool checkIfExists(const std::string &R_name,
const std::string &where) {
return Rcpp::as<bool>(
this->parseEval("'" + R_name + "' %in% names(" + where + ")"));
}
private:
RInsidePOET() : RInside(){};
};
template <typename T> class RHookFunction {
public:
RHookFunction() {}
RHookFunction(RInside &R, const std::string &f_name) {
try {
this->func = Rcpp::Function(Rcpp::as<SEXP>(R.parseEval(f_name.c_str())));
} catch (const std::exception &e) {
}
}
template <typename... Args> T operator()(Args... args) const {
if (func.has_value()) {
return (Rcpp::as<T>(this->func.value()(args...)));
} else {
throw std::exception();
}
}
bool isValid() const { return this->func.has_value(); }
private:
std::optional<Rcpp::Function> func;
};
#endif // RPOET_H_

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/*
** Copyright (C) 2018-2021 Alexander Lindemann, Max Luebke (University of
** Potsdam)
**
** Copyright (C) 2018-2022 Marco De Lucia, Max Luebke (GFZ Potsdam)
**
** POET is free software; you can redistribute it and/or modify it under the
** terms of the GNU General Public License as published by the Free Software
** Foundation; either version 2 of the License, or (at your option) any later
** version.
**
** POET is distributed in the hope that it will be useful, but WITHOUT ANY
** WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR
** A PARTICULAR PURPOSE. See the GNU General Public License for more details.
**
** You should have received a copy of the GNU General Public License along with
** this program; if not, write to the Free Software Foundation, Inc., 51
** Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
#ifndef PARSER_H
#define PARSER_H
#include <cstdint>
#include <optional>
#include <string>
#include <string_view>
#include <unordered_map>
#include <vector>
#include "DataStructures.hpp"
#include "Macros.hpp"
#include "RInsidePOET.hpp"
#include "argh.hpp" // Argument handler https://github.com/adishavit/argh
#include <RInside.h>
#include <Rcpp.h>
// BSD-licenced
/** Standard DHT Size. Defaults to 1 GB (1000 MB) */
constexpr uint32_t DHT_SIZE_PER_PROCESS_MB = 1.5E3;
/** Standard work package size */
#define WORK_PACKAGE_SIZE_DEFAULT 32
namespace poet {
enum { PARSER_OK, PARSER_ERROR, PARSER_HELP };
/**
* @brief Defining all simulation parameters
*
*/
typedef struct {
/** Count of processes in MPI_COMM_WORLD */
int world_size;
/** rank of proces in MPI_COMM_WORLD */
int world_rank;
/** indicates if DHT should be used */
bool dht_enabled;
/** apply logarithm to key before rounding */
bool dht_log;
/** indicates if timestep dt differs between iterations */
bool dt_differ;
/** Indicates, when a DHT snapshot should be written */
int dht_snaps;
/** <b>not implemented</b>: How a DHT is distributed over processes */
int dht_strategy;
/** Size of DHt per process in byter */
unsigned int dht_size_per_process;
/** Default significant digit for rounding */
int dht_significant_digits;
/** Default work package size */
unsigned int wp_size;
/** indicates if resulting grid should be stored after every iteration */
bool store_result;
/** indicating whether the progress bar during chemistry simulation should be
* printed or not */
bool print_progressbar;
bool interp_enabled;
} t_simparams;
using GridParams = struct s_GridParams {
std::array<uint32_t, 2> n_cells;
std::array<double, 2> s_cells;
std::uint8_t dim;
std::uint32_t total_n;
std::string type;
Rcpp::DataFrame init_df;
std::string input_script;
std::string database_path;
std::vector<std::string> props;
s_GridParams(RInside &R);
};
using DiffusionParams = struct s_DiffusionParams {
Rcpp::DataFrame initial_t;
Rcpp::NumericVector alpha;
Rcpp::List vecinj_inner;
Rcpp::DataFrame vecinj;
Rcpp::DataFrame vecinj_index;
s_DiffusionParams(RInside &R);
};
struct ChemistryParams {
std::string database_path;
std::string input_script;
bool use_dht;
std::uint64_t dht_size;
int dht_snaps;
std::string dht_file;
std::string dht_outdir;
NamedVector<std::uint32_t> dht_signifs;
bool use_interp;
std::uint64_t pht_size;
std::uint32_t pht_max_entries;
std::uint32_t interp_min_entries;
NamedVector<std::uint32_t> pht_signifs;
struct Chem_Hook_Functions {
RHookFunction<bool> dht_fill;
RHookFunction<std::vector<double>> dht_fuzz;
RHookFunction<std::vector<std::size_t>> interp_pre;
RHookFunction<bool> interp_post;
} hooks;
void initFromR(RInsidePOET &R);
};
/**
* @brief Reads information from program arguments and R runtime
*
* Providing functions to initialize parameters of the simulation using command
* line parameters and parameters from the R runtime. This class will also parse
* arguments from the commandline and decides if argument is known or unknown.
*
* Stores and distribute current simulation parameters at any time.
*
*/
class SimParams {
public:
/**
* @brief Construct a new SimParams object
*
* With all given parameters a new instance of this class will be created.
*
* @param world_rank Rank of process inside MPI_COMM_WORLD
* @param world_size Size of communicator MPI_COMM_WORLD
*/
SimParams(int world_rank, int world_size);
/**
* @brief Parse program arguments
*
* This is done by the argh.h library.
*
* First, the function will check if there is a flag 'help' or 'h'. If this is
* the case a help message is printed and the function will return with
* PARSER_HELP.
*
* Second, if there are not 2 positional arguments an error will be printed to
* stderr and the function returns with PARSER_ERROR.
*
* Then all given program parameters and flags will be read and checked, if
* there are known by validateOptions. A list of all unknown options might be
* returned, printed out and the function will return with PARSER_ERROR.
* Oterhwise the function continuos.
*
* Now all program arguments will be stored inside t_simparams struct, printed
* out and the function returns with PARSER_OK.
*
* Also, all parsed agruments are distributed to the R runtime.
*
* @param argv Argument value of the program
* @param R Instantiated R runtime
* @return int Returns with 0 if no error occured, otherwise value less than 0
* is returned.
*/
int parseFromCmdl(char *argv[], RInsidePOET &R);
/**
* @brief Init std::vector values
*
* This will initialize dht_signif_vector and dht_prop_type_vector internally
* depending on whether vectors are defined by R-Simulation file or not.
* 'init_chemistry' must be run beforehand.
*
* @param R R runtime
*/
void initVectorParams(RInside &R);
/**
* @brief Get the numerical params struct
*
* Returns a struct which contains all numerical or boolean simulation
* parameters.
*
* @return t_simparams Parameter struct
*/
auto getNumParams() const { return this->simparams; };
/**
* @brief Get the DHT_Signif_Vector
*
* Returns a vector indicating which significant values are used for each
* variable of a grid cell.
*
* @return std::vector<int> Vector of integers containing information about
* significant digits
*/
auto getDHTSignifVector() const { return this->dht_signif_vector; };
auto getPHTSignifVector() const { return this->pht_signif_vector; };
auto getPHTBucketSize() const { return this->pht_bucket_size; };
auto getPHTMinEntriesNeeded() const { return this->pht_min_entries_needed; };
/**
* @brief Get the filesim name
*
* Returns a string containing the absolute path to a R file defining the
* simulation.
*
* @return std::string Absolute path to R file
*/
auto getFilesim() const { return this->filesim; };
/**
* @brief Get the output directory
*
* Returns the name of an absolute path where all output files should be
* stored.
*
* @return std::string Absolute path to output path
*/
auto getOutDir() const { return this->out_dir; };
const auto &getChemParams() const { return chem_params; }
private:
std::list<std::string> validateOptions(argh::parser cmdl);
const std::set<std::string> flaglist{"ignore-result", "dht", "P", "progress",
"interp"};
const std::set<std::string> paramlist{
"work-package-size", "dht-strategy",
"dht-size", "dht-snaps",
"dht-file", "interp-size",
"interp-min", "interp-bucket-entries"};
t_simparams simparams;
std::vector<uint32_t> dht_signif_vector;
std::vector<uint32_t> pht_signif_vector;
uint32_t pht_bucket_size;
uint32_t pht_min_entries_needed;
std::string filesim;
std::string out_dir;
ChemistryParams chem_params;
};
} // namespace poet
#endif // PARSER_H

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/*
** Copyright (c) 2016, Adi Shavit All rights reserved.
**
** Redistribution and use in source and binary forms, with or without
** modification, are permitted provided that the following conditions are met:
**
** * Redistributions of source code must retain the above copyright notice, this
** list of conditions and the following disclaimer. * Redistributions in
** binary form must reproduce the above copyright notice, this list of
** conditions and the following disclaimer in the documentation and/or other
** materials provided with the distribution. * Neither the name of nor the
** names of its contributors may be used to endorse or promote products
** derived from this software without specific prior written permission.
**
** THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
** AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
** IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
** ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
** LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
** CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
** SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
** INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
** CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
** ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
** POSSIBILITY OF SUCH DAMAGE.
*/
#pragma once
#include <algorithm>
#include <sstream>
#include <string>
#include <vector>
#include <set>
#include <map>
#include <cassert>
namespace argh
{
// Terminology:
// A command line is composed of 2 types of args:
// 1. Positional args, i.e. free standing values
// 2. Options: args beginning with '-'. We identify two kinds:
// 2.1: Flags: boolean options => (exist ? true : false)
// 2.2: Parameters: a name followed by a non-option value
#if !defined(__GNUC__) || (__GNUC__ >= 5)
using string_stream = std::istringstream;
#else
// Until GCC 5, istringstream did not have a move constructor.
// stringstream_proxy is used instead, as a workaround.
class stringstream_proxy
{
public:
stringstream_proxy() = default;
// Construct with a value.
stringstream_proxy(std::string const& value) :
stream_(value)
{}
// Copy constructor.
stringstream_proxy(const stringstream_proxy& other) :
stream_(other.stream_.str())
{
stream_.setstate(other.stream_.rdstate());
}
void setstate(std::ios_base::iostate state) { stream_.setstate(state); }
// Stream out the value of the parameter.
// If the conversion was not possible, the stream will enter the fail state,
// and operator bool will return false.
template<typename T>
stringstream_proxy& operator >> (T& thing)
{
stream_ >> thing;
return *this;
}
// Get the string value.
std::string str() const { return stream_.str(); }
std::stringbuf* rdbuf() const { return stream_.rdbuf(); }
// Check the state of the stream.
// False when the most recent stream operation failed
operator bool() const { return !!stream_; }
~stringstream_proxy() = default;
private:
std::istringstream stream_;
};
using string_stream = stringstream_proxy;
#endif
class parser
{
public:
enum Mode { PREFER_FLAG_FOR_UNREG_OPTION = 1 << 0,
PREFER_PARAM_FOR_UNREG_OPTION = 1 << 1,
NO_SPLIT_ON_EQUALSIGN = 1 << 2,
SINGLE_DASH_IS_MULTIFLAG = 1 << 3,
};
parser() = default;
parser(std::initializer_list<char const* const> pre_reg_names)
{ add_params(pre_reg_names); }
parser(const char* const argv[], int mode = PREFER_FLAG_FOR_UNREG_OPTION)
{ parse(argv, mode); }
parser(int argc, const char* const argv[], int mode = PREFER_FLAG_FOR_UNREG_OPTION)
{ parse(argc, argv, mode); }
void add_param(std::string const& name);
void add_params(std::initializer_list<char const* const> init_list);
void parse(const char* const argv[], int mode = PREFER_FLAG_FOR_UNREG_OPTION);
void parse(int argc, const char* const argv[], int mode = PREFER_FLAG_FOR_UNREG_OPTION);
std::multiset<std::string> const& flags() const { return flags_; }
std::map<std::string, std::string> const& params() const { return params_; }
std::vector<std::string> const& pos_args() const { return pos_args_; }
// begin() and end() for using range-for over positional args.
std::vector<std::string>::const_iterator begin() const { return pos_args_.cbegin(); }
std::vector<std::string>::const_iterator end() const { return pos_args_.cend(); }
size_t size() const { return pos_args_.size(); }
//////////////////////////////////////////////////////////////////////////
// Accessors
// flag (boolean) accessors: return true if the flag appeared, otherwise false.
bool operator[](std::string const& name) const;
// multiple flag (boolean) accessors: return true if at least one of the flag appeared, otherwise false.
bool operator[](std::initializer_list<char const* const> init_list) const;
// returns positional arg string by order. Like argv[] but without the options
std::string const& operator[](size_t ind) const;
// returns a std::istream that can be used to convert a positional arg to a typed value.
string_stream operator()(size_t ind) const;
// same as above, but with a default value in case the arg is missing (index out of range).
template<typename T>
string_stream operator()(size_t ind, T&& def_val) const;
// parameter accessors, give a name get an std::istream that can be used to convert to a typed value.
// call .str() on result to get as string
string_stream operator()(std::string const& name) const;
// accessor for a parameter with multiple names, give a list of names, get an std::istream that can be used to convert to a typed value.
// call .str() on result to get as string
// returns the first value in the list to be found.
string_stream operator()(std::initializer_list<char const* const> init_list) const;
// same as above, but with a default value in case the param was missing.
// Non-string def_val types must have an operator<<() (output stream operator)
// If T only has an input stream operator, pass the string version of the type as in "3" instead of 3.
template<typename T>
string_stream operator()(std::string const& name, T&& def_val) const;
// same as above but for a list of names. returns the first value to be found.
template<typename T>
string_stream operator()(std::initializer_list<char const* const> init_list, T&& def_val) const;
private:
string_stream bad_stream() const;
std::string trim_leading_dashes(std::string const& name) const;
bool is_number(std::string const& arg) const;
bool is_option(std::string const& arg) const;
bool got_flag(std::string const& name) const;
bool is_param(std::string const& name) const;
private:
std::vector<std::string> args_;
std::map<std::string, std::string> params_;
std::vector<std::string> pos_args_;
std::multiset<std::string> flags_;
std::set<std::string> registeredParams_;
std::string empty_;
};
//////////////////////////////////////////////////////////////////////////
inline void parser::parse(const char * const argv[], int mode)
{
int argc = 0;
for (auto argvp = argv; *argvp; ++argc, ++argvp);
parse(argc, argv, mode);
}
//////////////////////////////////////////////////////////////////////////
inline void parser::parse(int argc, const char* const argv[], int mode /*= PREFER_FLAG_FOR_UNREG_OPTION*/)
{
// convert to strings
args_.resize(argc);
std::transform(argv, argv + argc, args_.begin(), [](const char* const arg) { return arg; });
// parse line
for (auto i = 0u; i < args_.size(); ++i)
{
if (!is_option(args_[i]))
{
pos_args_.emplace_back(args_[i]);
continue;
}
auto name = trim_leading_dashes(args_[i]);
if (!(mode & NO_SPLIT_ON_EQUALSIGN))
{
auto equalPos = name.find('=');
if (equalPos != std::string::npos)
{
params_.insert({ name.substr(0, equalPos), name.substr(equalPos + 1) });
continue;
}
}
// if the option is unregistered and should be a multi-flag
if (1 == (args_[i].size() - name.size()) && // single dash
argh::parser::SINGLE_DASH_IS_MULTIFLAG & mode && // multi-flag mode
!is_param(name)) // unregistered
{
std::string keep_param;
if (!name.empty() && is_param(std::string(1ul, name.back()))) // last char is param
{
keep_param += name.back();
name.resize(name.size() - 1);
}
for (auto const& c : name)
{
flags_.emplace(std::string{ c });
}
if (!keep_param.empty())
{
name = keep_param;
}
else
{
continue; // do not consider other options for this arg
}
}
// any potential option will get as its value the next arg, unless that arg is an option too
// in that case it will be determined a flag.
if (i == args_.size() - 1 || is_option(args_[i + 1]))
{
flags_.emplace(name);
continue;
}
// if 'name' is a pre-registered option, then the next arg cannot be a free parameter to it is skipped
// otherwise we have 2 modes:
// PREFER_FLAG_FOR_UNREG_OPTION: a non-registered 'name' is determined a flag.
// The following value (the next arg) will be a free parameter.
//
// PREFER_PARAM_FOR_UNREG_OPTION: a non-registered 'name' is determined a parameter, the next arg
// will be the value of that option.
assert(!(mode & argh::parser::PREFER_FLAG_FOR_UNREG_OPTION)
|| !(mode & argh::parser::PREFER_PARAM_FOR_UNREG_OPTION));
bool preferParam = mode & argh::parser::PREFER_PARAM_FOR_UNREG_OPTION;
if (is_param(name) || preferParam)
{
params_.insert({ name, args_[i + 1] });
++i; // skip next value, it is not a free parameter
continue;
}
else
{
flags_.emplace(name);
}
};
}
//////////////////////////////////////////////////////////////////////////
inline string_stream parser::bad_stream() const
{
string_stream bad;
bad.setstate(std::ios_base::failbit);
return bad;
}
//////////////////////////////////////////////////////////////////////////
inline bool parser::is_number(std::string const& arg) const
{
// inefficient but simple way to determine if a string is a number (which can start with a '-')
std::istringstream istr(arg);
double number;
istr >> number;
return !(istr.fail() || istr.bad());
}
//////////////////////////////////////////////////////////////////////////
inline bool parser::is_option(std::string const& arg) const
{
assert(0 != arg.size());
if (is_number(arg))
return false;
return '-' == arg[0];
}
//////////////////////////////////////////////////////////////////////////
inline std::string parser::trim_leading_dashes(std::string const& name) const
{
auto pos = name.find_first_not_of('-');
return std::string::npos != pos ? name.substr(pos) : name;
}
//////////////////////////////////////////////////////////////////////////
inline bool argh::parser::got_flag(std::string const& name) const
{
return flags_.end() != flags_.find(trim_leading_dashes(name));
}
//////////////////////////////////////////////////////////////////////////
inline bool argh::parser::is_param(std::string const& name) const
{
return registeredParams_.count(name);
}
//////////////////////////////////////////////////////////////////////////
inline bool parser::operator[](std::string const& name) const
{
return got_flag(name);
}
//////////////////////////////////////////////////////////////////////////
inline bool parser::operator[](std::initializer_list<char const* const> init_list) const
{
return std::any_of(init_list.begin(), init_list.end(), [&](char const* const name) { return got_flag(name); });
}
//////////////////////////////////////////////////////////////////////////
inline std::string const& parser::operator[](size_t ind) const
{
if (ind < pos_args_.size())
return pos_args_[ind];
return empty_;
}
//////////////////////////////////////////////////////////////////////////
inline string_stream parser::operator()(std::string const& name) const
{
auto optIt = params_.find(trim_leading_dashes(name));
if (params_.end() != optIt)
return string_stream(optIt->second);
return bad_stream();
}
//////////////////////////////////////////////////////////////////////////
inline string_stream parser::operator()(std::initializer_list<char const* const> init_list) const
{
for (auto& name : init_list)
{
auto optIt = params_.find(trim_leading_dashes(name));
if (params_.end() != optIt)
return string_stream(optIt->second);
}
return bad_stream();
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
string_stream parser::operator()(std::string const& name, T&& def_val) const
{
auto optIt = params_.find(trim_leading_dashes(name));
if (params_.end() != optIt)
return string_stream(optIt->second);
std::ostringstream ostr;
ostr << def_val;
return string_stream(ostr.str()); // use default
}
//////////////////////////////////////////////////////////////////////////
// same as above but for a list of names. returns the first value to be found.
template<typename T>
string_stream parser::operator()(std::initializer_list<char const* const> init_list, T&& def_val) const
{
for (auto& name : init_list)
{
auto optIt = params_.find(trim_leading_dashes(name));
if (params_.end() != optIt)
return string_stream(optIt->second);
}
std::ostringstream ostr;
ostr << def_val;
return string_stream(ostr.str()); // use default
}
//////////////////////////////////////////////////////////////////////////
inline string_stream parser::operator()(size_t ind) const
{
if (pos_args_.size() <= ind)
return bad_stream();
return string_stream(pos_args_[ind]);
}
//////////////////////////////////////////////////////////////////////////
template<typename T>
string_stream parser::operator()(size_t ind, T&& def_val) const
{
if (pos_args_.size() <= ind)
{
std::ostringstream ostr;
ostr << def_val;
return string_stream(ostr.str());
}
return string_stream(pos_args_[ind]);
}
//////////////////////////////////////////////////////////////////////////
inline void parser::add_param(std::string const& name)
{
registeredParams_.insert(trim_leading_dashes(name));
}
//////////////////////////////////////////////////////////////////////////
inline void parser::add_params(std::initializer_list<char const* const> init_list)
{
for (auto& name : init_list)
registeredParams_.insert(trim_leading_dashes(name));
}
}

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@ -1,10 +0,0 @@
#ifndef ENUMS_H_
#define ENUMS_H_
namespace poet {
enum DHT_PROP_TYPES { DHT_TYPE_DEFAULT, DHT_TYPE_CHARGE, DHT_TYPE_TOTAL };
enum CHEMISTRY_OUT_SOURCE { CHEM_PQC, CHEM_DHT, CHEM_INTERP };
} // namespace poet
#endif // ENUMS_H_

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@ -1,4 +1,3 @@
// Time-stamp: "Last modified 2023-08-09 14:16:04 mluebke"
#ifndef MACROS_H
#define MACROS_H

92
src/Base/RInsidePOET.hpp Normal file
View File

@ -0,0 +1,92 @@
#pragma once
#include <RInside.h>
#include <Rcpp.h>
#include <Rinternals.h>
#include <exception>
#include <memory>
#include <string>
namespace poet {
class RInsidePOET : public RInside {
public:
static RInsidePOET &getInstance() {
static RInsidePOET instance;
return instance;
}
RInsidePOET(RInsidePOET const &) = delete;
void operator=(RInsidePOET const &) = delete;
inline bool checkIfExists(const std::string &R_name,
const std::string &where) {
return Rcpp::as<bool>(
this->parseEval("'" + R_name + "' %in% names(" + where + ")"));
}
private:
RInsidePOET() : RInside(){};
};
/**
* @brief Deferred evaluation function
*
* The class is intended to call R functions within an existing RInside
* instance. The problem with "original" Rcpp::Function is that they require:
* 1. RInside instance already present, restricting the declaration of
* Rcpp::Functions in global scope
* 2. Require the function to be present. Otherwise, they will throw an
* exception.
* This class solves both problems by deferring the evaluation of the function
* until the constructor is called and evaluating whether the function is
* present or not, wihout throwing an exception.
*
* @tparam T Return type of the function
*/
class DEFunc {
public:
DEFunc() {}
DEFunc(const std::string &f_name) {
try {
this->func = std::make_shared<Rcpp::Function>(f_name);
} catch (const std::exception &e) {
}
}
DEFunc(SEXP f) {
try {
this->func = std::make_shared<Rcpp::Function>(f);
} catch (const std::exception &e) {
}
}
template <typename... Args> SEXP operator()(Args... args) const {
if (func) {
return (*this->func)(args...);
} else {
throw std::exception();
}
}
DEFunc &operator=(const DEFunc &rhs) {
this->func = rhs.func;
return *this;
}
DEFunc(const DEFunc &rhs) { this->func = rhs.func; }
bool isValid() const { return static_cast<bool>(func); }
SEXP asSEXP() const {
if (!func) {
return R_NilValue;
}
return Rcpp::as<SEXP>(*this->func.get());
}
private:
std::shared_ptr<Rcpp::Function> func;
};
} // namespace poet

View File

@ -1,25 +1,101 @@
file(GLOB_RECURSE poet_lib_SRC
CONFIGURE_DEPENDS
"*.cpp" "*.c")
add_library(POETLib
Init/InitialList.cpp
Init/GridInit.cpp
Init/DiffusionInit.cpp
Init/ChemistryInit.cpp
DataStructures/Field.cpp
Transport/DiffusionModule.cpp
Chemistry/ChemistryModule.cpp
Chemistry/MasterFunctions.cpp
Chemistry/WorkerFunctions.cpp
Chemistry/SurrogateModels/DHT_Wrapper.cpp
Chemistry/SurrogateModels/DHT.c
Chemistry/SurrogateModels/HashFunctions.cpp
Chemistry/SurrogateModels/InterpolationModule.cpp
Chemistry/SurrogateModels/ProximityHashTable.cpp
)
add_library(poet_lib ${poet_lib_SRC})
target_include_directories(poet_lib PUBLIC ${PROJECT_SOURCE_DIR}/include)
target_link_libraries(poet_lib PUBLIC
MPI::MPI_CXX ${MATH_LIBRARY} RRuntime PhreeqcRM tug)
set(POET_TUG_APPROACH "Implicit" CACHE STRING "tug numerical approach to use")
set_property(CACHE POET_TUG_APPROACH PROPERTY STRINGS "Implicit" "Explicit")
target_compile_definitions(poet_lib PUBLIC STRICT_R_HEADERS OMPI_SKIP_MPICXX)
mark_as_advanced(PHREEQCRM_BUILD_MPI PHREEQCRM_DISABLE_OPENMP)
set(PHREEQCRM_DISABLE_OPENMP ON CACHE BOOL "" FORCE)
option(POET_DHT_DEBUG "Build with DHT debug info" OFF)
if(POET_DHT_DEBUG)
target_compile_definitions(poet_lib PRIVATE DHT_STATISTICS)
if (POET_TUG_APPROACH STREQUAL "Implicit")
target_compile_definitions(POETLib PRIVATE POET_TUG_BTCS)
elseif (POET_TUG_APPROACH STREQUAL "Explicit")
target_compile_definitions(POETLib PRIVATE POET_TUG_FTCS)
endif()
option(POET_PHT_ADDITIONAL_INFO "Enables additional information in the PHT" OFF)
target_include_directories(POETLib PUBLIC "${CMAKE_CURRENT_SOURCE_DIR}")
target_link_libraries(
POETLib
PUBLIC RRuntime
PUBLIC IPhreeqcPOET
PUBLIC tug
PUBLIC MPI::MPI_C
)
if (POET_PHT_ADDITIONAL_INFO)
target_compile_definitions(poet_lib PRIVATE POET_PHT_ADD)
endif()
include(FetchContent)
FetchContent_Declare(
cli11
QUIET
GIT_REPOSITORY https://github.com/CLIUtils/CLI11.git
GIT_TAG v2.5.0
)
FetchContent_MakeAvailable(cli11)
# add_library(poetlib
# Base/Grid.cpp
# Base/SimParams.cpp
# Chemistry/ChemistryModule.cpp
# Chemistry/MasterFunctions.cpp
# Chemistry/WorkerFunctions.cpp
# Chemistry/SurrogateModels/DHT_Wrapper.cpp
# Chemistry/SurrogateModels/DHT.c
# Chemistry/SurrogateModels/HashFunctions.cpp
# Chemistry/SurrogateModels/InterpolationModule.cpp
# Chemistry/SurrogateModels/ProximityHashTable.cpp
# Transport/DiffusionModule.cpp
# )
# target_link_libraries(poetlib PUBLIC
# DataStructures
# Init
# MPI::MPI_C
# ${MATH_LIBRARY}
# RRuntime
# PhreeqcRM
# tug
# )
target_compile_definitions(POETLib PUBLIC STRICT_R_HEADERS OMPI_SKIP_MPICXX)
# mark_as_advanced(PHREEQCRM_BUILD_MPI PHREEQCRM_DISABLE_OPENMP)
# set(PHREEQCRM_DISABLE_OPENMP ON CACHE BOOL "" FORCE)
# option(POET_DHT_DEBUG "Build with DHT debug info" OFF)
# if(POET_DHT_DEBUG)
# target_compile_definitions(poetlib PRIVATE DHT_STATISTICS)
# endif()
# option(POET_PHT_ADDITIONAL_INFO "Enables additional information in the PHT" OFF)
# if (POET_PHT_ADDITIONAL_INFO)
# target_compile_definitions(poetlib PRIVATE POET_PHT_ADD)
# endif()
file(READ "${PROJECT_SOURCE_DIR}/R_lib/kin_r_library.R" R_KIN_LIB )
file(READ "${PROJECT_SOURCE_DIR}/R_lib/init_r_lib.R" R_INIT_LIB)
file(READ "${PROJECT_SOURCE_DIR}/R_lib/ai_surrogate_model.R" R_AI_SURROGATE_LIB)
configure_file(poet.hpp.in poet.hpp @ONLY)
add_executable(poet poet.cpp)
target_link_libraries(poet PRIVATE POETLib MPI::MPI_C RRuntime CLI11::CLI11)
target_include_directories(poet PRIVATE "${CMAKE_CURRENT_BINARY_DIR}")
add_executable(poet_init initializer.cpp)
target_link_libraries(poet_init PRIVATE POETLib RRuntime CLI11::CLI11)
target_include_directories(poet_init PRIVATE "${CMAKE_CURRENT_BINARY_DIR}")
install(TARGETS poet poet_init DESTINATION bin)

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@ -0,0 +1,20 @@
#pragma once
#include <cstdint>
#include <vector>
namespace poet {
enum DHT_PROP_TYPES { DHT_TYPE_DEFAULT, DHT_TYPE_CHARGE, DHT_TYPE_TOTAL };
enum CHEMISTRY_OUT_SOURCE { CHEM_PQC, CHEM_DHT, CHEM_INTERP, CHEM_AISURR };
struct WorkPackage {
std::size_t size;
std::vector<std::vector<double>> input;
std::vector<std::vector<double>> output;
std::vector<std::uint8_t> mapping;
WorkPackage(std::size_t _size)
: size(_size), input(size), output(size), mapping(size, CHEM_PQC) {}
};
} // namespace poet

View File

@ -0,0 +1,324 @@
#include "ChemistryModule.hpp"
#include "PhreeqcEngine.hpp"
#include "PhreeqcMatrix.hpp"
#include "PhreeqcRunner.hpp"
#include "SurrogateModels/DHT_Wrapper.hpp"
#include "SurrogateModels/Interpolation.hpp"
#include <algorithm>
#include <cassert>
#include <cmath>
#include <cstdint>
#include <memory>
#include <mpi.h>
#include <string>
#include <vector>
std::vector<double>
inverseDistanceWeighting(const std::vector<std::int32_t> &to_calc,
const std::vector<double> &from,
const std::vector<std::vector<double>> &input,
const std::vector<std::vector<double>> &output) {
std::vector<double> results = from;
// const std::uint32_t buffer_size = input.size() + 1;
// double buffer[buffer_size];
// double from_rescaled;
const std::uint32_t data_set_n = input.size();
double rescaled[to_calc.size()][data_set_n + 1];
double weights[data_set_n];
// rescaling over all key elements
for (std::uint32_t key_comp_i = 0; key_comp_i < to_calc.size();
key_comp_i++) {
const auto output_comp_i = to_calc[key_comp_i];
// rescale input between 0 and 1
for (std::uint32_t point_i = 0; point_i < data_set_n; point_i++) {
rescaled[key_comp_i][point_i] = input[point_i][key_comp_i];
}
rescaled[key_comp_i][data_set_n] = from[output_comp_i];
const double min = *std::min_element(rescaled[key_comp_i],
rescaled[key_comp_i] + data_set_n + 1);
const double max = *std::max_element(rescaled[key_comp_i],
rescaled[key_comp_i] + data_set_n + 1);
for (std::uint32_t point_i = 0; point_i < data_set_n; point_i++) {
rescaled[key_comp_i][point_i] =
((max - min) != 0
? (rescaled[key_comp_i][point_i] - min) / (max - min)
: 0);
}
rescaled[key_comp_i][data_set_n] =
((max - min) != 0 ? (from[output_comp_i] - min) / (max - min) : 0);
}
// calculate distances for each data set
double inv_sum = 0;
for (std::uint32_t point_i = 0; point_i < data_set_n; point_i++) {
double distance = 0;
for (std::uint32_t key_comp_i = 0; key_comp_i < to_calc.size();
key_comp_i++) {
distance += std::pow(
rescaled[key_comp_i][point_i] - rescaled[key_comp_i][data_set_n], 2);
}
weights[point_i] = distance != 0 ? 1 / std::sqrt(distance) : 0;
assert(!std::isnan(weights[point_i]));
inv_sum += weights[point_i];
}
assert(!std::isnan(inv_sum));
// actual interpolation
// bool has_h = false;
// bool has_o = false;
for (std::uint32_t key_comp_i = 0; key_comp_i < to_calc.size();
key_comp_i++) {
const auto output_comp_i = to_calc[key_comp_i];
double key_delta = 0;
// if (interp_i == 0) {
// has_h = true;
// }
// if (interp_i == 1) {
// has_o = true;
// }
for (std::uint32_t j = 0; j < data_set_n; j++) {
key_delta += weights[j] * output[j][output_comp_i];
}
key_delta /= inv_sum;
results[output_comp_i] = from[output_comp_i] + key_delta;
assert(!std::isnan(results[output_comp_i]));
}
return results;
}
poet::ChemistryModule::ChemistryModule(
uint32_t wp_size_, const InitialList::ChemistryInit chem_params,
MPI_Comm communicator)
: group_comm(communicator), wp_size(wp_size_), params(chem_params) {
MPI_Comm_rank(communicator, &comm_rank);
MPI_Comm_size(communicator, &comm_size);
this->is_sequential = comm_size == 1;
this->is_master = comm_rank == 0;
this->n_cells = chem_params.total_grid_cells;
if (!is_master) {
PhreeqcMatrix pqc_mat =
PhreeqcMatrix(chem_params.database, chem_params.pqc_script,
chem_params.with_h0_o0, chem_params.with_redox);
this->pqc_runner =
std::make_unique<PhreeqcRunner>(pqc_mat.subset(chem_params.pqc_ids));
}
}
poet::ChemistryModule::~ChemistryModule() {
if (dht) {
delete dht;
}
}
void poet::ChemistryModule::initializeDHT(
uint32_t size_mb, const NamedVector<std::uint32_t> &key_species,
bool has_het_ids) {
constexpr uint32_t MB_FACTOR = 1E6;
MPI_Comm dht_comm;
if (this->is_master) {
MPI_Comm_split(this->group_comm, MPI_UNDEFINED, this->comm_rank, &dht_comm);
return;
}
if (!this->is_master) {
MPI_Comm_split(this->group_comm, 1, this->comm_rank, &dht_comm);
auto map_copy = key_species;
if (key_species.empty()) {
std::vector<std::uint32_t> default_signif(
this->prop_count, DHT_Wrapper::DHT_KEY_SIGNIF_DEFAULT);
map_copy = NamedVector<std::uint32_t>(this->prop_names, default_signif);
}
auto key_indices = parseDHTSpeciesVec(key_species, this->prop_names);
if (this->dht) {
delete this->dht;
}
const std::uint64_t dht_size = size_mb * MB_FACTOR;
this->dht = new DHT_Wrapper(dht_comm, dht_size, map_copy, key_indices,
this->prop_names, params.hooks,
this->prop_count, interp_enabled, has_het_ids);
this->dht->setBaseTotals(base_totals.at(0), base_totals.at(1));
}
}
inline std::vector<std::int32_t> poet::ChemistryModule::parseDHTSpeciesVec(
const NamedVector<std::uint32_t> &key_species,
const std::vector<std::string> &to_compare) const {
std::vector<int32_t> species_indices;
species_indices.reserve(key_species.size());
const auto test = key_species.getNames();
for (const auto &species : key_species.getNames()) {
auto it = std::find(to_compare.begin(), to_compare.end(), species);
if (it == to_compare.end()) {
species_indices.push_back(DHT_Wrapper::DHT_KEY_INPUT_CUSTOM);
continue;
}
const std::uint32_t index = it - to_compare.begin();
species_indices.push_back(index);
}
return species_indices;
}
void poet::ChemistryModule::BCastStringVec(std::vector<std::string> &io) {
if (this->is_master) {
int vec_size = io.size();
ChemBCast(&vec_size, 1, MPI_INT);
for (const auto &value : io) {
int buf_size = value.size() + 1;
ChemBCast(&buf_size, 1, MPI_INT);
ChemBCast(const_cast<char *>(value.c_str()), buf_size, MPI_CHAR);
}
} else {
int vec_size;
ChemBCast(&vec_size, 1, MPI_INT);
io.resize(vec_size);
for (int i = 0; i < vec_size; i++) {
int buf_size;
ChemBCast(&buf_size, 1, MPI_INT);
char buf[buf_size];
ChemBCast(buf, buf_size, MPI_CHAR);
io[i] = std::string{buf};
}
}
}
void poet::ChemistryModule::setDHTSnapshots(int type,
const std::string &out_dir) {
if (this->is_master) {
return;
}
this->dht_file_out_dir = out_dir;
this->dht_snaps_type = type;
}
void poet::ChemistryModule::setDHTReadFile(const std::string &input_file) {
if (this->is_master) {
return;
}
if (!input_file.empty()) {
WorkerReadDHTDump(input_file);
}
}
void poet::ChemistryModule::initializeInterp(
std::uint32_t bucket_size, std::uint32_t size_mb, std::uint32_t min_entries,
const NamedVector<std::uint32_t> &key_species) {
if (!this->is_master) {
constexpr uint32_t MB_FACTOR = 1E6;
assert(this->dht);
this->interp_enabled = true;
auto map_copy = key_species;
if (key_species.empty()) {
map_copy = this->dht->getKeySpecies();
for (auto i = 0; i < map_copy.size(); i++) {
const std::uint32_t signif =
static_cast<std::uint32_t>(map_copy[i]) -
(map_copy[i] > InterpolationModule::COARSE_DIFF
? InterpolationModule::COARSE_DIFF
: 0);
map_copy[i] = signif;
}
}
auto key_indices =
parseDHTSpeciesVec(map_copy, dht->getKeySpecies().getNames());
if (this->interp) {
this->interp.reset();
}
const uint64_t pht_size = size_mb * MB_FACTOR;
interp = std::make_unique<poet::InterpolationModule>(
bucket_size, pht_size, min_entries, *(this->dht), map_copy, key_indices,
this->prop_names, this->params.hooks);
interp->setInterpolationFunction(inverseDistanceWeighting);
}
}
std::vector<double>
poet::ChemistryModule::shuffleField(const std::vector<double> &in_field,
uint32_t size_per_prop, uint32_t prop_count,
uint32_t wp_count) {
std::vector<double> out_buffer(in_field.size());
uint32_t write_i = 0;
for (uint32_t i = 0; i < wp_count; i++) {
for (uint32_t j = i; j < size_per_prop; j += wp_count) {
for (uint32_t k = 0; k < prop_count; k++) {
out_buffer[(write_i * prop_count) + k] =
in_field[(k * size_per_prop) + j];
}
write_i++;
}
}
return out_buffer;
}
void poet::ChemistryModule::unshuffleField(const std::vector<double> &in_buffer,
uint32_t size_per_prop,
uint32_t prop_count,
uint32_t wp_count,
std::vector<double> &out_field) {
uint32_t read_i = 0;
for (uint32_t i = 0; i < wp_count; i++) {
for (uint32_t j = i; j < size_per_prop; j += wp_count) {
for (uint32_t k = 0; k < prop_count; k++) {
out_field[(k * size_per_prop) + j] =
in_buffer[(read_i * prop_count) + k];
}
read_i++;
}
}
}
void poet::ChemistryModule::set_ai_surrogate_validity_vector(
std::vector<int> r_vector) {
this->ai_surrogate_validity_vector = r_vector;
}

View File

@ -1,17 +1,19 @@
// Time-stamp: "Last modified 2023-08-15 14:36:28 mluebke"
#ifndef CHEMISTRYMODULE_H_
#define CHEMISTRYMODULE_H_
#include "DHT_Wrapper.hpp"
#include "DataStructures.hpp"
#include "Interpolation.hpp"
#include "IrmResult.h"
#include "PhreeqcRM.h"
#include "SimParams.hpp"
#include "DataStructures/Field.hpp"
#include "DataStructures/NamedVector.hpp"
#include "ChemistryDefs.hpp"
#include "Init/InitialList.hpp"
#include "NameDouble.h"
#include "SurrogateModels/DHT_Wrapper.hpp"
#include "SurrogateModels/Interpolation.hpp"
#include "PhreeqcRunner.hpp"
#include <array>
#include <cstddef>
#include <cstdint>
#include <map>
#include <memory>
@ -24,7 +26,7 @@ namespace poet {
* \brief Wrapper around PhreeqcRM to provide POET specific parallelization with
* easy access.
*/
class ChemistryModule : public PhreeqcRM {
class ChemistryModule {
public:
/**
* Creates a new instance of Chemistry module with given grid cell count, work
@ -41,61 +43,80 @@ public:
* \param wp_size Count of grid cells to fill each work package at maximum.
* \param communicator MPI communicator to distribute work in.
*/
ChemistryModule(uint32_t nxyz, uint32_t wp_size, std::uint32_t maxiter,
const ChemistryParams &chem_param, MPI_Comm communicator);
ChemistryModule(uint32_t wp_size,
const InitialList::ChemistryInit chem_params,
MPI_Comm communicator);
/**
* Deconstructor, which frees DHT data structure if used.
*/
~ChemistryModule();
/**
* Parses the input script and extract information needed during runtime.
*
* **Only run by master**.
*
* Database must be loaded beforehand.
*
* \param input_script_path Path to input script to parse.
*/
void RunInitFile(const std::string &input_script_path);
void masterSetField(Field field);
/**
* Run the chemical simulation with parameters set.
*/
void RunCells();
void simulate(double dt);
/**
* Returns the chemical field.
*/
auto GetField() const { return this->chem_field; }
/**
* Returns all known species names, including not only aqueous species, but
* also equilibrium, exchange, surface and kinetic reactants.
*/
auto GetPropNames() const { return this->prop_names; }
// auto GetPropNames() const { return this->prop_names; }
/**
* Return the accumulated runtime in seconds for chemical simulation.
*/
auto GetChemistryTime() const { return this->chem_t; }
/**
* Create a new worker instance inside given MPI communicator.
*
* Wraps communication needed before instanciation can take place.
*
* \param communicator MPI communicator to distribute work in.
*
* \returns A worker instance with fixed work package size.
*/
static ChemistryModule createWorker(MPI_Comm communicator,
const ChemistryParams &chem_param);
void setFilePadding(std::uint32_t maxiter) {
this->file_pad =
static_cast<std::uint8_t>(std::ceil(std::log10(maxiter + 1)));
}
/**
* Default work package size.
*/
static constexpr uint32_t CHEM_DEFAULT_WP_SIZE = 5;
struct SurrogateSetup {
std::vector<std::string> prop_names;
std::array<double, 2> base_totals;
bool has_het_ids;
bool dht_enabled;
std::uint32_t dht_size_mb;
int dht_snaps;
std::string dht_out_dir;
bool interp_enabled;
std::uint32_t interp_bucket_size;
std::uint32_t interp_size_mb;
std::uint32_t interp_min_entries;
bool ai_surrogate_enabled;
};
void masterEnableSurrogates(const SurrogateSetup &setup) {
// FIXME: This is a hack to get the prop_names and prop_count from the setup
this->prop_names = setup.prop_names;
this->prop_count = setup.prop_names.size();
this->dht_enabled = setup.dht_enabled;
this->interp_enabled = setup.interp_enabled;
this->ai_surrogate_enabled = setup.ai_surrogate_enabled;
this->base_totals = setup.base_totals;
if (this->dht_enabled || this->interp_enabled) {
this->initializeDHT(setup.dht_size_mb, this->params.dht_species,
setup.has_het_ids);
if (setup.dht_snaps != DHT_SNAPS_DISABLED) {
this->setDHTSnapshots(setup.dht_snaps, setup.dht_out_dir);
}
}
if (this->interp_enabled) {
this->initializeInterp(setup.interp_bucket_size, setup.interp_size_mb,
setup.interp_min_entries,
this->params.interp_species);
}
}
/**
* Intended to alias input parameters for grid initialization with a single
@ -118,17 +139,6 @@ public:
DHT_SNAPS_ITEREND //!< output snapshots after each iteration
};
/**
* **This function has to be run!**
*
* Merge initial values from existing module with the chemistry module and set
* according internal variables.
*
* \param other Field to merge chemistry with. Most likely it is something
* like the diffusion field.
*/
void initializeField(const Field &other);
/**
* **Only called by workers!** Start the worker listening loop.
*/
@ -223,6 +233,11 @@ public:
this->print_progessbar = enabled;
};
/**
* **Master only** Set the ai surrogate validity vector from R
*/
void set_ai_surrogate_validity_vector(std::vector<int> r_vector);
std::vector<uint32_t> GetWorkerInterpolationCalls() const;
std::vector<double> GetWorkerInterpolationWriteTimings() const;
@ -232,9 +247,12 @@ public:
std::vector<uint32_t> GetWorkerPHTCacheHits() const;
std::vector<int> ai_surrogate_validity_vector;
protected:
void initializeDHT(uint32_t size_mb,
const NamedVector<std::uint32_t> &key_species);
const NamedVector<std::uint32_t> &key_species,
bool has_het_ids);
void setDHTSnapshots(int type, const std::string &out_dir);
void setDHTReadFile(const std::string &input_file);
@ -243,12 +261,9 @@ protected:
const NamedVector<std::uint32_t> &key_species);
enum {
CHEM_INIT,
CHEM_WP_SIZE,
CHEM_INIT_SPECIES,
CHEM_FIELD_INIT,
CHEM_DHT_ENABLE,
CHEM_DHT_SIGNIF_VEC,
CHEM_DHT_PROP_TYPE_VEC,
CHEM_DHT_SNAPS,
CHEM_DHT_READ_FILE,
CHEM_IP_ENABLE,
@ -256,7 +271,8 @@ protected:
CHEM_IP_SIGNIF_VEC,
CHEM_WORK_LOOP,
CHEM_PERF,
CHEM_BREAK_MAIN_LOOP
CHEM_BREAK_MAIN_LOOP,
CHEM_AI_BCAST_VALIDITY
};
enum { LOOP_WORK, LOOP_END };
@ -295,7 +311,7 @@ protected:
using worker_list_t = std::vector<struct worker_info_s>;
using workpointer_t = std::vector<double>::iterator;
void MasterRunParallel();
void MasterRunParallel(double dt);
void MasterRunSequential();
void MasterSendPkgs(worker_list_t &w_list, workpointer_t &work_pointer,
@ -321,8 +337,8 @@ protected:
void WorkerPerfToMaster(int type, const struct worker_s &timings);
void WorkerMetricsToMaster(int type);
IRM_RESULT WorkerRunWorkPackage(WorkPackage &work_package, double dSimTime,
double dTimestep);
void WorkerRunWorkPackage(WorkPackage &work_package, double dSimTime,
double dTimestep);
std::vector<uint32_t> CalculateWPSizesVector(uint32_t n_cells,
uint32_t wp_size) const;
@ -345,7 +361,7 @@ protected:
bool is_sequential;
bool is_master;
uint32_t wp_size{CHEM_DEFAULT_WP_SIZE};
uint32_t wp_size;
bool dht_enabled{false};
int dht_snaps_type{DHT_SNAPS_DISABLED};
std::string dht_file_out_dir;
@ -355,6 +371,8 @@ protected:
bool interp_enabled{false};
std::unique_ptr<poet::InterpolationModule> interp;
bool ai_surrogate_enabled{false};
static constexpr uint32_t BUFFER_OFFSET = 5;
inline void ChemBCast(void *buf, int count, MPI_Datatype datatype) const {
@ -373,7 +391,7 @@ protected:
bool print_progessbar{false};
std::uint32_t file_pad;
std::uint8_t file_pad{1};
double chem_t{0.};
@ -383,11 +401,9 @@ protected:
Field chem_field;
static constexpr int MODULE_COUNT = 5;
const InitialList::ChemistryInit params;
const ChemistryParams &params;
std::array<std::uint32_t, MODULE_COUNT> speciesPerModule{};
std::unique_ptr<PhreeqcRunner> pqc_runner;
};
} // namespace poet

View File

@ -1,11 +1,9 @@
#include "PhreeqcRM.h"
#include "poet/ChemistryModule.hpp"
#include "ChemistryModule.hpp"
#include <algorithm>
#include <cstddef>
#include <cstdint>
#include <mpi.h>
#include <stdexcept>
#include <vector>
std::vector<uint32_t>
@ -161,6 +159,20 @@ std::vector<uint32_t> poet::ChemistryModule::GetWorkerPHTCacheHits() const {
return ret;
}
inline std::vector<int> shuffleVector(const std::vector<int> &in_vector,
uint32_t size_per_prop,
uint32_t wp_count) {
std::vector<int> out_buffer(in_vector.size());
uint32_t write_i = 0;
for (uint32_t i = 0; i < wp_count; i++) {
for (uint32_t j = i; j < size_per_prop; j += wp_count) {
out_buffer[write_i] = in_vector[j];
write_i++;
}
}
return out_buffer;
}
inline std::vector<double> shuffleField(const std::vector<double> &in_field,
uint32_t size_per_prop,
uint32_t prop_count,
@ -249,8 +261,10 @@ inline void poet::ChemistryModule::MasterSendPkgs(
send_buffer[end_of_wp + 2] = dt;
// current time of simulation (age) in seconds
send_buffer[end_of_wp + 3] = this->simtime;
// placeholder for work_package_count
send_buffer[end_of_wp + 4] = 0.;
// current work package start location in field
uint32_t wp_start_index = std::accumulate(wp_sizes_vector.begin(), std::next(wp_sizes_vector.begin(), count_pkgs), 0);
send_buffer[end_of_wp + 4] = wp_start_index;
/* ATTENTION Worker p has rank p+1 */
// MPI_Send(send_buffer, end_of_wp + BUFFER_OFFSET, MPI_DOUBLE, p + 1,
@ -307,45 +321,46 @@ inline void poet::ChemistryModule::MasterRecvPkgs(worker_list_t &w_list,
}
}
void poet::ChemistryModule::RunCells() {
void poet::ChemistryModule::simulate(double dt) {
double start_t{MPI_Wtime()};
if (this->is_sequential) {
MasterRunSequential();
return;
}
MasterRunParallel();
MasterRunParallel(dt);
double end_t{MPI_Wtime()};
this->chem_t += end_t - start_t;
}
void poet::ChemistryModule::MasterRunSequential() {
std::vector<double> shuffled_field =
shuffleField(chem_field.AsVector(), n_cells, prop_count, 1);
// std::vector<double> shuffled_field =
// shuffleField(chem_field.AsVector(), n_cells, prop_count, 1);
std::vector<std::vector<double>> input;
for (std::size_t i = 0; i < n_cells; i++) {
input.push_back(
std::vector<double>(shuffled_field.begin() + (i * prop_count),
shuffled_field.begin() + ((i + 1) * prop_count)));
}
// std::vector<std::vector<double>> input;
// for (std::size_t i = 0; i < n_cells; i++) {
// input.push_back(
// std::vector<double>(shuffled_field.begin() + (i * prop_count),
// shuffled_field.begin() + ((i + 1) *
// prop_count)));
// }
this->setDumpedField(input);
PhreeqcRM::RunCells();
this->getDumpedField(input);
// this->setDumpedField(input);
// PhreeqcRM::RunCells();
// this->getDumpedField(input);
shuffled_field.clear();
for (std::size_t i = 0; i < n_cells; i++) {
shuffled_field.insert(shuffled_field.end(), input[i].begin(),
input[i].end());
}
// shuffled_field.clear();
// for (std::size_t i = 0; i < n_cells; i++) {
// shuffled_field.insert(shuffled_field.end(), input[i].begin(),
// input[i].end());
// }
std::vector<double> out_vec{shuffled_field};
unshuffleField(shuffled_field, n_cells, prop_count, 1, out_vec);
chem_field = out_vec;
// std::vector<double> out_vec{shuffled_field};
// unshuffleField(shuffled_field, n_cells, prop_count, 1, out_vec);
// chem_field = out_vec;
}
void poet::ChemistryModule::MasterRunParallel() {
void poet::ChemistryModule::MasterRunParallel(double dt) {
/* declare most of the needed variables here */
double seq_a, seq_b, seq_c, seq_d;
double worker_chemistry_a, worker_chemistry_b;
@ -353,21 +368,30 @@ void poet::ChemistryModule::MasterRunParallel() {
int pkg_to_send, pkg_to_recv;
int free_workers;
int i_pkgs;
int ftype;
int ftype = CHEM_WORK_LOOP;
const std::vector<uint32_t> wp_sizes_vector =
CalculateWPSizesVector(this->n_cells, this->wp_size);
if (this->ai_surrogate_enabled) {
ftype = CHEM_AI_BCAST_VALIDITY;
PropagateFunctionType(ftype);
this->ai_surrogate_validity_vector = shuffleVector(this->ai_surrogate_validity_vector,
this->n_cells,
wp_sizes_vector.size());
ChemBCast(&this->ai_surrogate_validity_vector.front(), this->n_cells, MPI_INT);
}
ftype = CHEM_WORK_LOOP;
PropagateFunctionType(ftype);
MPI_Barrier(this->group_comm);
double dt = this->PhreeqcRM::GetTimeStep();
static uint32_t iteration = 0;
/* start time measurement of sequential part */
seq_a = MPI_Wtime();
const std::vector<uint32_t> wp_sizes_vector =
CalculateWPSizesVector(this->n_cells, this->wp_size);
/* shuffle grid */
// grid.shuffleAndExport(mpi_buffer);
std::vector<double> mpi_buffer =
@ -465,3 +489,13 @@ poet::ChemistryModule::CalculateWPSizesVector(uint32_t n_cells,
return wp_sizes_vector;
}
void poet::ChemistryModule::masterSetField(Field field) {
this->chem_field = field;
this->prop_count = field.GetProps().size();
int ftype = CHEM_FIELD_INIT;
PropagateFunctionType(ftype);
ChemBCast(&this->prop_count, 1, MPI_UINT32_T);
}

View File

@ -1,4 +1,3 @@
/// Time-stamp: "Last modified 2023-08-10 11:50:46 mluebke"
/*
** Copyright (C) 2017-2021 Max Luebke (University of Potsdam)
**
@ -16,8 +15,9 @@
** Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
#include "DHT.h"
#include <mpi.h>
#include <poet/DHT.h>
#include <inttypes.h>
#include <math.h>
@ -105,6 +105,8 @@ DHT *DHT_create(MPI_Comm comm, uint64_t size, unsigned int data_size,
object->index_count = 9 - (index_bytes / 8);
object->index = (uint64_t *)malloc((object->index_count) * sizeof(uint64_t));
object->mem_alloc = mem_alloc;
object->sum_idx = 0;
object->cnt_idx = 0;
// if set, initialize dht_stats
#ifdef DHT_STATISTICS
@ -189,6 +191,9 @@ int DHT_write_accumulate(DHT *table, const void *send_key, int data_size,
}
}
table->cnt_idx += 1;
table->sum_idx += (i + 1);
if (result == DHT_WRITE_SUCCESS_WITH_EVICTION) {
memset((char *)table->send_entry + 1 + table->key_size, '\0',
table->data_size);
@ -279,6 +284,9 @@ int DHT_write(DHT *table, void *send_key, void *send_data, uint32_t *proc,
}
}
table->cnt_idx += 1;
table->sum_idx += (i + 1);
// put data to DHT (with last selected index by value i)
if (MPI_Put(table->send_entry, 1 + table->data_size + table->key_size,
MPI_BYTE, dest_rank, table->index[i],
@ -550,6 +558,41 @@ int DHT_free(DHT *table, int *eviction_counter, int *readerror_counter) {
return DHT_SUCCESS;
}
float DHT_get_used_idx_factor(DHT *table, int with_reset) {
int rank;
MPI_Comm_rank(table->communicator, &rank);
float my_avg_idx = (float)table->sum_idx / (float)table->cnt_idx;
float max_mean_index;
MPI_Reduce(&my_avg_idx, &max_mean_index, 1, MPI_FLOAT, MPI_MAX, 0,
table->communicator);
MPI_Bcast(&max_mean_index, 1, MPI_FLOAT, 0, table->communicator);
if (!!with_reset) {
table->sum_idx = 0;
table->cnt_idx = 0;
}
return max_mean_index;
}
int DHT_flush(DHT *table) {
// make sure all processes are synchronized
MPI_Barrier(table->communicator);
// wipe local memory with zeros
memset(table->mem_alloc, '\0',
table->table_size * (1 + table->data_size + table->key_size));
table->sum_idx = 0;
table->cnt_idx = 0;
return DHT_SUCCESS;
}
int DHT_print_statistics(DHT *table) {
#ifdef DHT_STATISTICS
int *written_buckets;

View File

@ -117,6 +117,9 @@ typedef struct {
unsigned int index_count;
int (*accumulate_callback)(int, void *, int, void *);
size_t sum_idx;
size_t cnt_idx;
#ifdef DHT_STATISTICS
/** Detailed statistics of the usage of the DHT. */
DHT_stats *stats;
@ -125,10 +128,11 @@ typedef struct {
extern void DHT_set_accumulate_callback(DHT *table,
int (*callback_func)(int, void *, int,
void *));
void *));
extern int DHT_write_accumulate(DHT *table, const void *key, int send_size,
void *data, uint32_t *proc, uint32_t *index, int *callback_ret);
void *data, uint32_t *proc, uint32_t *index,
int *callback_ret);
/**
* @brief Create a DHT.
@ -284,44 +288,8 @@ extern int DHT_free(DHT *table, int *eviction_counter, int *readerror_counter);
*/
extern int DHT_print_statistics(DHT *table);
/**
* @brief Determine destination rank and index.
*
* This is done by looping over all possbile indices. First of all, set a
* temporary index to zero and copy count of bytes for each index into the
* memory area of the temporary index. After that the current index is
* calculated by the temporary index modulo the table size. The destination rank
* of the process is simply determined by hash modulo the communicator size.
*
* @param hash Calculated 64 bit hash.
* @param comm_size Communicator size.
* @param table_size Count of buckets per process.
* @param dest_rank Reference to the destination rank variable.
* @param index Pointer to the array index.
* @param index_count Count of possible indeces.
*/
static void determine_dest(uint64_t hash, int comm_size,
unsigned int table_size, unsigned int *dest_rank,
uint64_t *index, unsigned int index_count);
extern float DHT_get_used_idx_factor(DHT *table, int with_reset);
/**
* @brief Set the occupied flag.
*
* This will set the first bit of a bucket to 1.
*
* @param flag_byte First byte of a bucket.
*/
static void set_flag(char *flag_byte);
/**
* @brief Get the occupied flag.
*
* This function determines whether the occupied flag of a bucket was set or
* not.
*
* @param flag_byte First byte of a bucket.
* @return int Returns 1 for true or 0 for false.
*/
static int read_flag(char flag_byte);
extern int DHT_flush(DHT *table);
#endif /* DHT_H */

View File

@ -1,4 +1,3 @@
// Time-stamp: "Last modified 2023-09-08 22:09:03 mluebke"
/*
** Copyright (C) 2018-2021 Alexander Lindemann, Max Luebke (University of
@ -20,22 +19,18 @@
** Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
#include "poet/DHT_Wrapper.hpp"
#include "poet/HashFunctions.hpp"
#include "poet/Interpolation.hpp"
#include "poet/LookupKey.hpp"
#include "poet/Rounding.hpp"
#include "poet/enums.hpp"
#include "DHT_Wrapper.hpp"
#include "poet/RInsidePOET.hpp"
#include "Init/InitialList.hpp"
#include "Rounding.hpp"
#include <Rcpp/proxy/ProtectedProxy.h>
#include <algorithm>
#include <cassert>
#include <cmath>
#include <cstddef>
#include <cstdint>
#include <cstring>
#include <iostream>
#include <stdexcept>
#include <vector>
@ -47,12 +42,13 @@ DHT_Wrapper::DHT_Wrapper(MPI_Comm dht_comm, std::uint64_t dht_size,
const NamedVector<std::uint32_t> &key_species,
const std::vector<std::int32_t> &key_indices,
const std::vector<std::string> &_output_names,
const ChemistryParams::Chem_Hook_Functions &_hooks,
uint32_t data_count, bool _with_interp)
const InitialList::ChemistryHookFunctions &_hooks,
uint32_t data_count, bool _with_interp,
bool _has_het_ids)
: key_count(key_indices.size()), data_count(data_count),
input_key_elements(key_indices), communicator(dht_comm),
key_species(key_species), output_names(_output_names), hooks(_hooks),
with_interp(_with_interp) {
with_interp(_with_interp), has_het_ids(_has_het_ids) {
// initialize DHT object
// key size = count of key elements + timestep
uint32_t key_size = (key_count + 1) * sizeof(Lookup_Keyelement);
@ -133,43 +129,47 @@ void DHT_Wrapper::fillDHT(const WorkPackage &work_package) {
dht_results.filledDHT = std::vector<bool>(length, false);
for (int i = 0; i < length; i++) {
// If true grid cell was simulated, needs to be inserted into dht
if (work_package.mapping[i] == CHEM_PQC) {
// check if calcite or dolomite is absent and present, resp.n and vice
// versa in input/output. If this is the case -> Do not write to DHT!
// HACK: hardcoded, should be fixed!
if (hooks.dht_fill.isValid()) {
NamedVector<double> old_values(output_names, work_package.input[i]);
NamedVector<double> new_values(output_names, work_package.output[i]);
if (hooks.dht_fill(old_values, new_values)) {
continue;
}
}
uint32_t proc, index;
auto &key = dht_results.keys[i];
const auto data =
(with_interp
? outputToInputAndRates(work_package.input[i],
work_package.output[i])
: work_package.output[i]);
// void *data = (void *)&(work_package[i * this->data_count]);
// fuzz data (round, logarithm etc.)
// insert simulated data with fuzzed key into DHT
int res = DHT_write(this->dht_object, key.data(),
const_cast<double *>(data.data()), &proc, &index);
dht_results.locations[i] = {proc, index};
// if data was successfully written ...
if ((res != DHT_SUCCESS) && (res == DHT_WRITE_SUCCESS_WITH_EVICTION)) {
dht_evictions++;
}
dht_results.filledDHT[i] = true;
if (work_package.mapping[i] != CHEM_PQC) {
continue;
}
if (work_package.input[i][0] != 2) {
continue;
}
// check if calcite or dolomite is absent and present, resp.n and vice
// versa in input/output. If this is the case -> Do not write to DHT!
// HACK: hardcoded, should be fixed!
if (hooks.dht_fill.isValid()) {
NamedVector<double> old_values(output_names, work_package.input[i]);
NamedVector<double> new_values(output_names, work_package.output[i]);
if (Rcpp::as<bool>(hooks.dht_fill(old_values, new_values))) {
continue;
}
}
uint32_t proc, index;
auto &key = dht_results.keys[i];
const auto data =
(with_interp ? outputToInputAndRates(work_package.input[i],
work_package.output[i])
: work_package.output[i]);
// void *data = (void *)&(work_package[i * this->data_count]);
// fuzz data (round, logarithm etc.)
// insert simulated data with fuzzed key into DHT
int res = DHT_write(this->dht_object, key.data(),
const_cast<double *>(data.data()), &proc, &index);
dht_results.locations[i] = {proc, index};
// if data was successfully written ...
if ((res != DHT_SUCCESS) && (res == DHT_WRITE_SUCCESS_WITH_EVICTION)) {
dht_evictions++;
}
dht_results.filledDHT[i] = true;
}
}
@ -273,9 +273,10 @@ LookupKey DHT_Wrapper::fuzzForDHT_R(const std::vector<double> &cell,
NamedVector<double> input_nv(this->output_names, cell);
const std::vector<double> eval_vec = hooks.dht_fuzz(input_nv);
const std::vector<double> eval_vec =
Rcpp::as<std::vector<double>>(hooks.dht_fuzz(input_nv));
assert(eval_vec.size() == this->key_count);
LookupKey vecFuzz(this->key_count + 1, {.0});
LookupKey vecFuzz(this->key_count + 1 + has_het_ids, {.0});
DHT_Rounder rounder;
@ -295,6 +296,9 @@ LookupKey DHT_Wrapper::fuzzForDHT_R(const std::vector<double> &cell,
}
// add timestep to the end of the key as double value
vecFuzz[this->key_count].fp_element = dt;
if (has_het_ids) {
vecFuzz[this->key_count + 1].fp_element = cell[0];
}
return vecFuzz;
}
@ -302,7 +306,7 @@ LookupKey DHT_Wrapper::fuzzForDHT_R(const std::vector<double> &cell,
LookupKey DHT_Wrapper::fuzzForDHT(const std::vector<double> &cell, double dt) {
const auto c_zero_val = std::pow(10, AQUEOUS_EXP);
LookupKey vecFuzz(this->key_count + 1, {.0});
LookupKey vecFuzz(this->key_count + 1 + has_het_ids, {.0});
DHT_Rounder rounder;
int totals_i = 0;
@ -328,6 +332,9 @@ LookupKey DHT_Wrapper::fuzzForDHT(const std::vector<double> &cell, double dt) {
}
// add timestep to the end of the key as double value
vecFuzz[this->key_count].fp_element = dt;
if (has_het_ids) {
vecFuzz[this->key_count + 1].fp_element = cell[0];
}
return vecFuzz;
}

View File

@ -1,4 +1,3 @@
// Time-stamp: "Last modified 2023-09-08 14:43:02 mluebke"
/*
** Copyright (C) 2018-2021 Alexander Lindemann, Max Luebke (University of
@ -23,19 +22,18 @@
#ifndef DHT_WRAPPER_H
#define DHT_WRAPPER_H
#include "DataStructures.hpp"
#include "Base/RInsidePOET.hpp"
#include "DataStructures/NamedVector.hpp"
#include "Chemistry/ChemistryDefs.hpp"
#include "Init/InitialList.hpp"
#include "LookupKey.hpp"
#include "RInsidePOET.hpp"
#include "SimParams.hpp"
#include "enums.hpp"
#include "poet/HashFunctions.hpp"
#include "poet/LookupKey.hpp"
#include "poet/Rounding.hpp"
#include <array>
#include <cstdint>
#include <limits>
#include <string>
#include <unordered_map>
#include <utility>
#include <vector>
@ -88,8 +86,8 @@ public:
const NamedVector<std::uint32_t> &key_species,
const std::vector<std::int32_t> &key_indices,
const std::vector<std::string> &output_names,
const ChemistryParams::Chem_Hook_Functions &hooks,
uint32_t data_count, bool with_interp);
const InitialList::ChemistryHookFunctions &hooks,
uint32_t data_count, bool with_interp, bool has_het_ids);
/**
* @brief Destroy the dht wrapper object
*
@ -260,12 +258,13 @@ private:
const std::vector<std::string> &output_names;
const ChemistryParams::Chem_Hook_Functions &hooks;
const InitialList::ChemistryHookFunctions &hooks;
const bool with_interp;
DHT_ResultObject dht_results;
std::array<double, 2> base_totals{0};
bool has_het_ids{false};
};
} // namespace poet

View File

@ -1,4 +1,3 @@
// Time-stamp: "Last modified 2023-04-24 23:20:55 mluebke"
/*
**-----------------------------------------------------------------------------
** MurmurHash2 was written by Austin Appleby, and is placed in the public
@ -24,7 +23,7 @@
** Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
#include "poet/HashFunctions.hpp"
#include "HashFunctions.hpp"
#if defined(_MSC_VER)

View File

@ -1,4 +1,3 @@
// // Time-stamp: "Last modified 2023-03-31 14:59:49 mluebke"
/*
** Copyright (C) 2018-2021 Alexander Lindemann, Max Luebke (University of

View File

@ -1,29 +1,25 @@
// Time-stamp: "Last modified 2023-08-16 16:49:31 mluebke"
#ifndef INTERPOLATION_H_
#define INTERPOLATION_H_
#include "DHT.h"
#include "DataStructures/NamedVector.hpp"
#include "DHT_Wrapper.hpp"
#include "DataStructures.hpp"
#include "Init/InitialList.hpp"
#include "LookupKey.hpp"
#include "poet/DHT_Wrapper.hpp"
#include "poet/Rounding.hpp"
#include "poet/SimParams.hpp"
#include <cassert>
#include <iostream>
#include "Rounding.hpp"
#include <list>
#include <memory>
#include <mpi.h>
#include <string>
#include <utility>
extern "C" {
#include "poet/DHT.h"
#include "DHT.h"
}
#include "poet/LookupKey.hpp"
#include <cstdint>
#include <functional>
#include <unordered_map>
#include <vector>
@ -166,10 +162,12 @@ public:
const NamedVector<std::uint32_t> &interp_key_signifs,
const std::vector<std::int32_t> &dht_key_indices,
const std::vector<std::string> &out_names,
const ChemistryParams::Chem_Hook_Functions &hooks);
const InitialList::ChemistryHookFunctions &hooks);
enum result_status { RES_OK, INSUFFICIENT_DATA, NOT_NEEDED };
DHT *getDHTObject() { return this->pht->getDHTObject(); }
struct InterpolationResult {
std::vector<std::vector<double>> results;
std::vector<result_status> status;
@ -262,9 +260,11 @@ private:
return out_key;
}
const ChemistryParams::Chem_Hook_Functions &hooks;
const InitialList::ChemistryHookFunctions &hooks;
const std::vector<std::string> &out_names;
const std::vector<std::string> dht_names;
std::unordered_map<int, std::vector<std::int32_t>> to_calc_cache;
};
} // namespace poet

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