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Added a few repos to input json #619

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merged 2 commits into from
Aug 9, 2023
Merged

Added a few repos to input json #619

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adc7d15
add new terms
hauten Aug 8, 2023
71b60c1
add external repos
hauten Aug 8, 2023
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8 changes: 7 additions & 1 deletion _visualize/input_lists.json
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Original file line number Diff line number Diff line change
Expand Up @@ -18,17 +18,22 @@
"pruners",
"rose-compiler",
"spack",
"visit-dav"
"visit-dav",
"xCDAT"
],
"repos": [
"alankaplan/ctmld",
"alankaplan/mctfa",
"alpine-dav/ascent",
"atomscience-org/ampl",
"bendudson/hermes-3",
"brendenpetersen/deep-symbolic-optimization",
"ceed/benchmarks",
"ceed/laghos",
"ceed/libceed",
"ceed/remhos",
"chu11/freeipmi-mirror",
"cmecmetrics/cmec-driver",
"dun/conman",
"dun/munge",
"ecp-veloc/axl",
Expand All @@ -54,6 +59,7 @@
"hpcgroup/tracer",
"hpcgroup/tracer-examples",
"jpype-project/jpype",
"landajuela/cardiac_challenge",
"landajuela/cardiac_ml",
"mkite-group/mkite_db",
"nsgcc/nscamera",
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2 changes: 1 addition & 1 deletion pages/explore/README.md
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Expand Up @@ -21,7 +21,7 @@ For each category, this file contains its title, [icon][icon dir] filepath, and
- **Proxy Applications**: Prepare for testing and porting applications - `proxy-application`
- **System Software**: Manage laptop and desktop computer systems, HPC clusters, and parallel environments - `system-software`

In general, topic tags raise a repo's visibility on GitHub and help users find related projects. The following tags, which are are not associated with the home page categories above, are recommended for LLNL repos: `amr` (adaptive mesh refinement), `arbitrary-lagrangian-eulerian` (ALE), `artificial-intelligence`, `benchmark`, `checkpoint`, `chemistry`, `cmake`, `compiler`, `cpp` (C++), `data-analysis`, `deep-learning`, `energy`, `exascale-computing`, `finite-elements`, `fortran`, `gpu`, `graph`, `high-dimensional-data`, `hpc`, `java`, `javascript`, `library`, `machine-learning`, `materials`, `matlab`, `molecular-dynamics`, `monte-carlo`, `mpi`, `natural-language-processing`, `neural-network`, `openmp`, `parallel-computing`, `python`, `shell`, `simulation`, `solver`, `templates`, `testing`, `uncertainty-quantification`.
In general, topic tags raise a repo's visibility on GitHub and help users find related projects. The following tags, which are are not associated with the home page categories above, are recommended for LLNL repos: `amr` (adaptive mesh refinement), `arbitrary-lagrangian-eulerian` (ALE), `artificial-intelligence`, `benchmark`, `biology`, `checkpoint`, `chemistry`, `cmake`, `compiler`, `cpp` (C++), `data-analysis`, `deep-learning`, `energy`, `exascale-computing`, `finite-elements`, `fortran`, `gpu`, `graph`, `high-dimensional-data`, `hpc`, `java`, `javascript`, `library`, `machine-learning`, `materials`, `matlab`, `molecular-dynamics`, `monte-carlo`, `mpi`, `natural-language-processing`, `neural-network`, `openmp`, `parallel-computing`, `python`, `seismology`, `shell`, `simulation`, `solver`, `templates`, `testing`, `uncertainty-quantification`.

Repos that appear on the [RADIUSS site](https://software.llnl.gov/radiuss/projects/) are listed in that repo's [`contributor-ci.yaml` file](https://github.com/LLNL/radiuss/blob/main/contributor-ci.yaml).

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