5 Commits

Author SHA1 Message Date
Anthony Berg
e954b5b181 fix: missing bracket around multiple variables 2025-03-26 14:21:44 +01:00
Anthony Berg
277a6b4a3c fix: deprecated modules on LUMI 2025-03-26 14:20:49 +01:00
Anthony Berg
208d82ab0b feat: add .gitignore 2025-03-17 14:48:46 +01:00
Hicham Agueny
31bf80c6f0 Update README.md: install rocm with easybuild 2024-09-24 14:49:23 +02:00
Hicham Agueny
4df5e5853f Merge pull request #1 from HichamAgueny/implement-hip-python
Implement hip python
2024-06-09 23:26:35 +02:00
5 changed files with 297 additions and 14 deletions

276
.gitignore vendored Normal file
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@@ -0,0 +1,276 @@
.vscode/settings.json
/data
# Numpy Zipped
*.npz
# NetCDF
*.nc
# Python Related files
# Taken from: https://github.com/github/gitignore/blob/main/Python.gitignore
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# UV
# Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
#uv.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock
# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
.pdm.toml
.pdm-python
.pdm-build/
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/
# Ruff stuff:
.ruff_cache/
# PyPI configuration file
.pypirc
# CUDA
cuda_cache/
# Taken from: https://github.com/github/gitignore/blob/main/CUDA.gitignore
*.i
*.ii
*.gpu
*.ptx
*.cubin
*.fatbin
# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio, WebStorm and Rider
# Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839
# Taken from: https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# User-specific stuff
.idea/**/workspace.xml
.idea/**/tasks.xml
.idea/**/usage.statistics.xml
.idea/**/dictionaries
.idea/**/shelf
# AWS User-specific
.idea/**/aws.xml
# Generated files
.idea/**/contentModel.xml
# Sensitive or high-churn files
.idea/**/dataSources/
.idea/**/dataSources.ids
.idea/**/dataSources.local.xml
.idea/**/sqlDataSources.xml
.idea/**/dynamic.xml
.idea/**/uiDesigner.xml
.idea/**/dbnavigator.xml
# Gradle
.idea/**/gradle.xml
.idea/**/libraries
# Gradle and Maven with auto-import
# When using Gradle or Maven with auto-import, you should exclude module files,
# since they will be recreated, and may cause churn. Uncomment if using
# auto-import.
# .idea/artifacts
# .idea/compiler.xml
# .idea/jarRepositories.xml
# .idea/modules.xml
# .idea/*.iml
# .idea/modules
# *.iml
# *.ipr
# CMake
cmake-build-*/
# Mongo Explorer plugin
.idea/**/mongoSettings.xml
# File-based project format
*.iws
# IntelliJ
out/
# mpeltonen/sbt-idea plugin
.idea_modules/
# JIRA plugin
atlassian-ide-plugin.xml
# Cursive Clojure plugin
.idea/replstate.xml
# SonarLint plugin
.idea/sonarlint/
# Crashlytics plugin (for Android Studio and IntelliJ)
com_crashlytics_export_strings.xml
crashlytics.properties
crashlytics-build.properties
fabric.properties
# Editor-based Rest Client
.idea/httpRequests
# Android studio 3.1+ serialized cache file
.idea/caches/build_file_checksums.ser

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@@ -19,18 +19,18 @@ Mydir=/project/project_4650000xx
Myapplication=${Mydir}/FiniteVolumeGPU_hip/mpiTesting.py Myapplication=${Mydir}/FiniteVolumeGPU_hip/mpiTesting.py
#modules #modules
ml LUMI/23.03 partition/G ml LUMI/24.03 partition/G
ml lumi-container-wrapper ml lumi-container-wrapper
ml cray-python/3.9.13.1 ml cray-python/3.11.7
ml rocm/5.2.3 ml rocm/5.4.6
ml craype-accel-amd-gfx90a ml craype-accel-amd-gfx90a
ml cray-mpich/8.1.27 ml cray-mpich/8.1.29
export PATH="/project/project_4650000xx/FiniteVolumeGPU_hip/MyCondaEnv/bin:$PATH" export PATH="/project/project_4650000xx/FiniteVolumeGPU_hip/MyCondaEnv/bin:$PATH"
#missing library #missing library
export LD_LIBRARY_PATH=/opt/cray/pe/mpich/8.1.27/ofi/cray/14.0/lib-abi-mpich:$LD_LIBRARY_PATH export LD_LIBRARY_PATH=/opt/cray/pe/mpich/8.1.29/ofi/cray/17.0/lib-abi-mpich:$LD_LIBRARY_PATH
#Binding mask #Binding mask
bind_mask="0x${fe}000000000000,0x${fe}00000000000000,0x${fe}0000,0x${fe}000000,0x${fe},0x${fe}00,0x${fe}00000000,0x${fe}0000000000" bind_mask="0x${fe}000000000000,0x${fe}00000000000000,0x${fe}0000,0x${fe}000000,0x${fe},0x${fe}00,0x${fe}00000000,0x${fe}0000000000"

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@@ -1,25 +1,31 @@
# FiniteVolumeGPU # FiniteVolumeGPU
This is a HIP version of the [FiniteVolume code](https://github.com/babrodtk/FiniteVolumeGPU) (work in progress). It is a Python software package that implements several finite volume discretizations on Cartesian grids for the shallow water equations and the Euler equations. This is a HIP version of the [FiniteVolume code](https://github.com/babrodtk/FiniteVolumeGPU). It is a Python software package that implements several finite volume discretizations on Cartesian grids for the shallow water equations and the Euler equations.
## Setup on LUMI-G ## Setup on LUMI-G
Here is a step-by-step guide on installing packages on LUMI-G Here is a step-by-step guide on installing packages on LUMI-G
### Step 0: load modules ### Step 1: Install rocm-5.4.6 with Easybuild
``` ```
ml LUMI/23.03 partition/G export EBU_USER_PREFIX=/project/project_xxxxxx/EasyBuild
ml lumi-container-wrapper ml LUMI/24.03 partition/G
ml cray-python/3.9.13.1 ml EasyBuild-user
export PYTHONIOENCODING=utf-8
eb rocm-5.4.6.eb -r
``` ```
### Step 1: run conda-container ### Step 2: run conda-container
Installation via conda can be done as: Installation via conda can be done as:
``` ```
ml LUMI/24.03 partition/G
ml lumi-container-wrapper/0.3.3-cray-python-3.11.7
```
```
conda-containerize new --prefix MyCondaEnv conda_environment_lumi.yml conda-containerize new --prefix MyCondaEnv conda_environment_lumi.yml
``` ```
where the file `conda_environment_lumi.yml` contains packages to be installed. where the file `conda_environment_lumi.yml` contains packages to be installed.
### Step 2: Set the env. variable to search for binaries ### Step 3: Set the env. variable to search for binaries
``` ```
export the bin path: export PATH="$PWD/MyCondaEnv/bin:$PATH" export the bin path: export PATH="$PWD/MyCondaEnv/bin:$PATH"
``` ```

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@@ -5,7 +5,8 @@ channels:
- conda-forge - conda-forge
dependencies: dependencies:
- python=3.9.13 - python=3.11.7
- pip
- numpy - numpy
- mpi4py - mpi4py
- six - six

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@@ -178,7 +178,7 @@ def genSim(grid, **kwargs):
return sim return sim
outfile, sim_runner_profiling_data, sim_profiling_data = Common.runSimulation( (outfile, sim_runner_profiling_data, sim_profiling_data) = Common.runSimulation(
genSim, arguments, outfile, save_times, save_var_names, dt) genSim, arguments, outfile, save_times, save_var_names, dt)
if(args.profile): if(args.profile):