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Merge pull request #689 from boegel/better_software_overview
improve software-specific pages in software overview
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.github/workflows/update_available_software.yml

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cp docs/available_software/data/json_data.json docs/available_software/data/json_data.json.orig
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cp docs/available_software/data/json_data_detail.json docs/available_software/data/json_data_detail.json.orig
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# download https://eessi.io/api_data/data/eessi_api_metadata_software.json
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# to where it's expected by docs/available_software/macros.py and scripts/available_software/available_software.py
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cd docs/available_software/data/
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curl -OL https://eessi.io/api_data/data/eessi_api_metadata_software.json
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cd -
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export TIME_GENERATED_TEMPLATE="{{ generated_time }}"
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python scripts/available_software/available_software.py
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./scripts/update_generated_time.sh mkdocs.yml
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---
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hide:
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- toc
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json_ld:
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'@context': https://schema.org
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'@type': SoftwareApplication
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applicationCategory: DeveloperApplication
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description: AI-TranspWood - Generate realistic microstructure models of wood (birch,
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spruce, etc.) from a set ofgiven parameters. This is a port of the original MATLAB
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code to Python.
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license: Not confirmed
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name: AITW-microstructures
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offers:
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'@type': Offer
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price: 0
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operatingSystem: LINUX
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review:
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'@type': Review
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author:
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'@type': Organization
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name: EESSI
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reviewBody: Application has been successfully made available on all architectures
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supported by EESSI
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reviewRating:
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'@type': Rating
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ratingValue: 5
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softwareRequirements: See https://www.eessi.io/docs/ for how to make EESSI available
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on your system
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softwareVersion: '[''AITW-microstructures/1.0.0-foss-2023a'']'
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url: https://www.ai-transpwood-project.eu/
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---
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AITW-microstructures
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====================
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AI-TranspWood - Generate realistic microstructure models of wood (birch, spruce, etc.) from a set ofgiven parameters. This is a port of the original MATLAB code to Python.
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https://www.ai-transpwood-project.eu/
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# Available modules
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The overview below shows which AITW-microstructures installations are available per target architecture in EESSI, ordered based on software version (new to old).
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To start using AITW-microstructures, load one of these modules using a `module load` command like:
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```shell
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module load AITW-microstructures/1.0.0-foss-2023a
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```
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*(This data was automatically generated on {{ generated_time }})*
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| |aarch64/generic|aarch64/a64fx|aarch64/neoverse_n1|aarch64/neoverse_v1|aarch64/nvidia/grace|x86_64/generic|x86_64/amd/zen2|x86_64/amd/zen3|x86_64/amd/zen4|x86_64/intel/cascadelake|x86_64/intel/haswell|x86_64/intel/icelake|x86_64/intel/sapphirerapids|x86_64/intel/skylake_avx512|
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| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
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|AITW-microstructures/1.0.0-foss-2023a|x|x|x|x|x|x|x|x|x|x|x|x|x|x|
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### AITW-microstructures/1.0.0-foss-2023a
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This is a list of extensions included in the module:
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AITW-microstructures-1.0.0, nptyping-2.5.0, pynrrd-1.0.0, textual-0.61.0, trogon-0.6.0
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# AITW-microstructures
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AI-TranspWood - Generate realistic microstructure models of wood (birch, spruce, etc.) from a set of
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given parameters. This is a port of the original MATLAB code to Python.
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<small>homepage: </small><span class="software-link">[https://www.ai-transpwood-project.eu/](https://www.ai-transpwood-project.eu/)</span>
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## Available installations
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|AITW-microstructures version|Supported CPU targets|Supported GPU targets|EESSI version|Module|
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| --- | --- | --- | --- | --- |
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|1.0.0|`generic`: `aarch64`, `x86_64`<br/><span class="software-cpu-arm">Arm</span>: `a64fx`, `neoverse_n1`, `neoverse_v1`, `nvidia/grace`<br/><span class="software-cpu-amd">AMD</span>: `zen2`, `zen3`, `zen4`<br/><span class="software-cpu-intel">Intel</span>: `haswell`, `skylake_avx512`, `sapphirerapids`, `icelake`, `cascadelake`<br/>|*(none)*|<span class="software-eessi-version-202306">2023.06</span>|`AITW-microstructures/1.0.0-foss-2023a`|
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## Extensions
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Overview of extensions included in AITW-microstructures installations
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### AITW-microstructures
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|`AITW-microstructures` version|AITW-microstructures modules that include it|
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| --- | --- |
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|1.0.0|`AITW-microstructures/1.0.0-foss-2023a`|
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### nptyping
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|`nptyping` version|AITW-microstructures modules that include it|
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| --- | --- |
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|2.5.0|`AITW-microstructures/1.0.0-foss-2023a`|
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### pynrrd
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|`pynrrd` version|AITW-microstructures modules that include it|
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| --- | --- |
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|1.0.0|`AITW-microstructures/1.0.0-foss-2023a`|
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### textual
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|`textual` version|AITW-microstructures modules that include it|
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| --- | --- |
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|0.61.0|`AITW-microstructures/1.0.0-foss-2023a`|
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### trogon
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|`trogon` version|AITW-microstructures modules that include it|
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| --- | --- |
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|0.6.0|`AITW-microstructures/1.0.0-foss-2023a`|
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---
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hide:
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- toc
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json_ld:
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'@context': https://schema.org
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'@type': SoftwareApplication
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applicationCategory: DeveloperApplication
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description: AI-TranspWood - Neural network surrogate model for computing macroscopic
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stiffness parameters ofwood fibers from given microscopic parameters.
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license: Not confirmed
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name: AITW-stiffness
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offers:
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'@type': Offer
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price: 0
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operatingSystem: LINUX
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review:
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'@type': Review
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author:
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'@type': Organization
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name: EESSI
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reviewBody: Application has been successfully made available on all architectures
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supported by EESSI
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reviewRating:
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'@type': Rating
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ratingValue: 5
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softwareRequirements: See https://www.eessi.io/docs/ for how to make EESSI available
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on your system
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softwareVersion: '[''AITW-stiffness/1.0.0-foss-2023a'']'
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url: https://www.ai-transpwood-project.eu/
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---
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AITW-stiffness
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==============
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AI-TranspWood - Neural network surrogate model for computing macroscopic stiffness parameters ofwood fibers from given microscopic parameters.
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https://www.ai-transpwood-project.eu/
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# Available modules
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The overview below shows which AITW-stiffness installations are available per target architecture in EESSI, ordered based on software version (new to old).
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To start using AITW-stiffness, load one of these modules using a `module load` command like:
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```shell
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module load AITW-stiffness/1.0.0-foss-2023a
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```
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*(This data was automatically generated on {{ generated_time }})*
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| |aarch64/generic|aarch64/a64fx|aarch64/neoverse_n1|aarch64/neoverse_v1|aarch64/nvidia/grace|x86_64/generic|x86_64/amd/zen2|x86_64/amd/zen3|x86_64/amd/zen4|x86_64/intel/cascadelake|x86_64/intel/haswell|x86_64/intel/icelake|x86_64/intel/sapphirerapids|x86_64/intel/skylake_avx512|
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| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
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|AITW-stiffness/1.0.0-foss-2023a|x|x|x|x|x|x|x|x|x|x|x|x|x|x|
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### AITW-stiffness/1.0.0-foss-2023a
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This is a list of extensions included in the module:
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AITW-stiffness-1.0.0
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# AITW-stiffness
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AI-TranspWood - Neural network surrogate model for computing macroscopic stiffness parameters of
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wood fibers from given microscopic parameters.
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<small>homepage: </small><span class="software-link">[https://www.ai-transpwood-project.eu/](https://www.ai-transpwood-project.eu/)</span>
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## Available installations
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|AITW-stiffness version|Supported CPU targets|Supported GPU targets|EESSI version|Module|
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| --- | --- | --- | --- | --- |
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|1.0.0|`generic`: `aarch64`, `x86_64`<br/><span class="software-cpu-arm">Arm</span>: `a64fx`, `neoverse_n1`, `neoverse_v1`, `nvidia/grace`<br/><span class="software-cpu-amd">AMD</span>: `zen2`, `zen3`, `zen4`<br/><span class="software-cpu-intel">Intel</span>: `haswell`, `skylake_avx512`, `sapphirerapids`, `icelake`, `cascadelake`<br/>|*(none)*|<span class="software-eessi-version-202306">2023.06</span>|`AITW-stiffness/1.0.0-foss-2023a`|
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## Extensions
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Overview of extensions included in AITW-stiffness installations
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### AITW-stiffness
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|`AITW-stiffness` version|AITW-stiffness modules that include it|
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| --- | --- |
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|1.0.0|`AITW-stiffness/1.0.0-foss-2023a`|
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---
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hide:
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- toc
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json_ld:
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'@context': https://schema.org
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'@type': SoftwareApplication
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applicationCategory: DeveloperApplication
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description: AI-TranspWood - AiiDA workchain to compute the shear viscosity of molecular
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liquids,starting from a SMILES string of a molecule and using GROMACS to perform
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the molecular dynamics simulations.
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license: Not confirmed
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name: AITW-viscosity
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offers:
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'@type': Offer
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price: 0
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operatingSystem: LINUX
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review:
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'@type': Review
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author:
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'@type': Organization
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name: EESSI
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reviewBody: Application has been successfully made available on all architectures
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supported by EESSI
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reviewRating:
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'@type': Rating
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ratingValue: 5
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softwareRequirements: See https://www.eessi.io/docs/ for how to make EESSI available
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on your system
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softwareVersion: '[''AITW-viscosity/1.0.0-foss-2023a'']'
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url: https://www.ai-transpwood-project.eu/
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---
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AITW-viscosity
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==============
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AI-TranspWood - AiiDA workchain to compute the shear viscosity of molecular liquids,starting from a SMILES string of a molecule and using GROMACS to perform the molecular dynamics simulations.
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https://www.ai-transpwood-project.eu/
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# Available modules
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The overview below shows which AITW-viscosity installations are available per target architecture in EESSI, ordered based on software version (new to old).
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To start using AITW-viscosity, load one of these modules using a `module load` command like:
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```shell
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module load AITW-viscosity/1.0.0-foss-2023a
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```
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*(This data was automatically generated on {{ generated_time }})*
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| |aarch64/generic|aarch64/a64fx|aarch64/neoverse_n1|aarch64/neoverse_v1|aarch64/nvidia/grace|x86_64/generic|x86_64/amd/zen2|x86_64/amd/zen3|x86_64/amd/zen4|x86_64/intel/cascadelake|x86_64/intel/haswell|x86_64/intel/icelake|x86_64/intel/sapphirerapids|x86_64/intel/skylake_avx512|
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| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
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|AITW-viscosity/1.0.0-foss-2023a|x|x|x|x|x|x|x|x|x|x|x|x|x|x|
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### AITW-viscosity/1.0.0-foss-2023a
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This is a list of extensions included in the module:
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AITW-viscosity-1.0.0, textual-0.61.0, trogon-0.6.0
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# AITW-viscosity
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AI-TranspWood - AiiDA workchain to compute the shear viscosity of molecular liquids,
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starting from a SMILES string of a molecule and using GROMACS to perform the molecular dynamics simulations.
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<small>homepage: </small><span class="software-link">[https://www.ai-transpwood-project.eu/](https://www.ai-transpwood-project.eu/)</span>
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## Available installations
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|AITW-viscosity version|Supported CPU targets|Supported GPU targets|EESSI version|Module|
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| --- | --- | --- | --- | --- |
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|1.0.0|`generic`: `aarch64`, `x86_64`<br/><span class="software-cpu-arm">Arm</span>: `a64fx`, `neoverse_n1`, `neoverse_v1`, `nvidia/grace`<br/><span class="software-cpu-amd">AMD</span>: `zen2`, `zen3`, `zen4`<br/><span class="software-cpu-intel">Intel</span>: `haswell`, `skylake_avx512`, `sapphirerapids`, `icelake`, `cascadelake`<br/>|*(none)*|<span class="software-eessi-version-202306">2023.06</span>|`AITW-viscosity/1.0.0-foss-2023a`|
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## Extensions
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Overview of extensions included in AITW-viscosity installations
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### AITW-viscosity
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|`AITW-viscosity` version|AITW-viscosity modules that include it|
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| --- | --- |
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|1.0.0|`AITW-viscosity/1.0.0-foss-2023a`|
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### textual
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|`textual` version|AITW-viscosity modules that include it|
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| --- | --- |
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|0.61.0|`AITW-viscosity/1.0.0-foss-2023a`|
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### trogon
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|`trogon` version|AITW-viscosity modules that include it|
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| --- | --- |
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|0.6.0|`AITW-viscosity/1.0.0-foss-2023a`|
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---
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hide:
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- toc
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json_ld:
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'@context': https://schema.org
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'@type': SoftwareApplication
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applicationCategory: DeveloperApplication
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description: "A Load Balancing Library (ALL) aims to provide an easy way to include\
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\ dynamicdomain-based load balancing into particle based simulation codes. The\
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\ libraryis developed in the Simulation Laboratory Molecular Systems of the J\xFC\
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lichSupercomputing Centre at Forschungszentrum J\xFClich."
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license: Not confirmed
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name: ALL
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offers:
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'@type': Offer
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price: 0
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operatingSystem: LINUX
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review:
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'@type': Review
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author:
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'@type': Organization
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name: EESSI
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reviewBody: Application has been successfully made available on all architectures
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supported by EESSI
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reviewRating:
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'@type': Rating
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ratingValue: 5
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softwareRequirements: See https://www.eessi.io/docs/ for how to make EESSI available
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on your system
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softwareVersion: '[''ALL/0.9.2-foss-2023a'']'
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url: https://gitlab.jsc.fz-juelich.de/SLMS/loadbalancing
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---
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# ALL
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ALL
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===
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A Load Balancing Library (ALL) aims to provide an easy way to include dynamic
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domain-based load balancing into particle based simulation codes. The library
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is developed in the Simulation Laboratory Molecular Systems of the Jülich
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Supercomputing Centre at Forschungszentrum Jülich.
378

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A Load Balancing Library (ALL) aims to provide an easy way to include dynamicdomain-based load balancing into particle based simulation codes. The libraryis developed in the Simulation Laboratory Molecular Systems of the JülichSupercomputing Centre at Forschungszentrum Jülich.
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<small>homepage: </small><span class="software-link">[https://gitlab.jsc.fz-juelich.de/SLMS/loadbalancing](https://gitlab.jsc.fz-juelich.de/SLMS/loadbalancing)</span>
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https://gitlab.jsc.fz-juelich.de/SLMS/loadbalancing
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# Available modules
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## Available installations
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4313

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The overview below shows which ALL installations are available per target architecture in EESSI, ordered based on software version (new to old).
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To start using ALL, load one of these modules using a `module load` command like:
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```shell
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module load ALL/0.9.2-foss-2023a
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```
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*(This data was automatically generated on {{ generated_time }})*
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| |aarch64/generic|aarch64/a64fx|aarch64/neoverse_n1|aarch64/neoverse_v1|aarch64/nvidia/grace|x86_64/generic|x86_64/amd/zen2|x86_64/amd/zen3|x86_64/amd/zen4|x86_64/intel/cascadelake|x86_64/intel/haswell|x86_64/intel/icelake|x86_64/intel/sapphirerapids|x86_64/intel/skylake_avx512|
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| :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
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|ALL/0.9.2-foss-2023a|x|x|x|x|x|x|x|x|x|x|x|x|x|x|
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|ALL version|Supported CPU targets|Supported GPU targets|EESSI version|Module|
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| --- | --- | --- | --- | --- |
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|0.9.2|`generic`: `aarch64`, `x86_64`<br/><span class="software-cpu-arm">Arm</span>: `a64fx`, `neoverse_n1`, `neoverse_v1`, `nvidia/grace`<br/><span class="software-cpu-amd">AMD</span>: `zen2`, `zen3`, `zen4`<br/><span class="software-cpu-intel">Intel</span>: `haswell`, `skylake_avx512`, `sapphirerapids`, `icelake`, `cascadelake`<br/>|*(none)*|<span class="software-eessi-version-202306">2023.06</span>|`ALL/0.9.2-foss-2023a`|

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