https://github.com/craylabs/smartredis

SmartSim Infrastructure Library Clients.

https://github.com/craylabs/smartredis

Science Score: 59.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README
  • Academic publication links
    Links to: sciencedirect.com
  • Committers with academic emails
    1 of 21 committers (4.8%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (14.9%) to scientific vocabulary

Keywords

hpc machine-learning redis redis-client redisai

Keywords from Contributors

climate-model mom6 parameterization earth-system-model
Last synced: 5 months ago · JSON representation

Repository

SmartSim Infrastructure Library Clients.

Basic Info
  • Host: GitHub
  • Owner: CrayLabs
  • License: bsd-2-clause
  • Language: C++
  • Default Branch: develop
  • Homepage:
  • Size: 7.75 MB
Statistics
  • Stars: 56
  • Watchers: 7
  • Forks: 24
  • Open Issues: 42
  • Releases: 14
Topics
hpc machine-learning redis redis-client redisai
Created over 5 years ago · Last pushed 8 months ago
Metadata Files
Readme Contributing License

README.md



Home    Install    Documentation    Slack    Cray Labs   


License GitHub last commit PyPI - Wheel GitHub tag (latest by date) PyPI - Python Version Language Code style: black

codecov

SmartRedis

SmartRedis is a collection of Redis clients that support RedisAI capabilities and include additional features for high performance computing (HPC) applications. SmartRedis provides clients in the following languages:

| Language | Version/Standard | |------------|:----------------------------------------------:| | Python | 3.10, 3.11, 3.12 | | C++ | C++17 | | C | C99 | | Fortran | Fortran 2018 (GNU/Intel), 2003 (PGI/Nvidia) |

SmartRedis is used in the SmartSim library. SmartSim makes it easier to use common Machine Learning (ML) libraries like PyTorch and TensorFlow in numerical simulations at scale. SmartRedis connects these simulations to a Redis database or Redis database cluster for data storage, script execution, and model evaluation. While SmartRedis contains features for simulation workflows on supercomputers, SmartRedis is fully functional as a RedisAI client library and can be used without SmartSim in any Python, C++, C, or Fortran project.

Using SmartRedis

SmartRedis installation instructions are currently hosted as part of the SmartSim library installation instructions Additionally, detailed API documents are also available as part of the SmartSim documentation.

Dependencies

SmartRedis utilizes the following libraries:

Publications

The following are public presentations or publications using SmartRedis

Cite

Please use the following citation when referencing SmartSim, SmartRedis, or any SmartSim related work:

Partee et al., "Using Machine Learning at scale in numerical simulations with SmartSim:
An application to ocean climate modeling",
Journal of Computational Science, Volume 62, 2022, 101707, ISSN 1877-7503.
Open Access: https://doi.org/10.1016/j.jocs.2022.101707.

bibtex

@article{PARTEE2022101707,
    title = {Using Machine Learning at scale in numerical simulations with SmartSim:
    An application to ocean climate modeling},
    journal = {Journal of Computational Science},
    volume = {62},
    pages = {101707},
    year = {2022},
    issn = {1877-7503},
    doi = {https://doi.org/10.1016/j.jocs.2022.101707},
    url = {https://www.sciencedirect.com/science/article/pii/S1877750322001065},
    author = {Sam Partee and Matthew Ellis and Alessandro Rigazzi and Andrew E. Shao
    and Scott Bachman and Gustavo Marques and Benjamin Robbins},
    keywords = {Deep learning, Numerical simulation, Climate modeling, High performance computing, SmartSim},
    }

Owner

  • Name: Cray Labs
  • Login: CrayLabs
  • Kind: organization

GitHub Events

Total
  • Issues event: 6
  • Watch event: 2
  • Issue comment event: 10
  • Push event: 5
  • Pull request review event: 16
  • Pull request review comment event: 7
  • Pull request event: 12
  • Fork event: 1
Last Year
  • Issues event: 6
  • Watch event: 2
  • Issue comment event: 10
  • Push event: 5
  • Pull request review event: 16
  • Pull request review comment event: 7
  • Pull request event: 12
  • Fork event: 1

Committers

Last synced: almost 3 years ago

All Time
  • Total Commits: 672
  • Total Committers: 21
  • Avg Commits per committer: 32.0
  • Development Distribution Score (DDS): 0.71
Top Committers
Name Email Commits
Matthew Ellis m****s@h****m 195
billschereriii b****r@h****m 94
Sam Partee s****e@h****m 74
Bill Scherer 3****i@u****m 69
EricGustin e****4@g****m 51
Alessandro Rigazzi a****i@c****m 40
Andrew Shao a****o@g****m 39
ctandon11 4****1@u****m 38
Matthew Ellis m****s@c****m 24
Al Rigazzi a****i@h****m 19
Matt Ellis m****3@u****m 12
Eric Gustin 3****n@u****m 3
Jim Edwards j****s@u****u 3
Matt Drozt d****t@h****m 2
Ben Albrecht b****t@u****m 2
Julia Putko 8****o@u****m 2
Andrew Shao a****o@h****m 1
Matthew Drozt m****t@g****m 1
Eric Gustin e****n@h****m 1
Gustavo Coelho g****o@g****m 1
Sam Partee p****1@g****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 85
  • Total pull requests: 207
  • Average time to close issues: 5 months
  • Average time to close pull requests: 9 days
  • Total issue authors: 19
  • Total pull request authors: 12
  • Average comments per issue: 1.01
  • Average comments per pull request: 0.81
  • Merged pull requests: 187
  • Bot issues: 0
  • Bot pull requests: 4
Past Year
  • Issues: 7
  • Pull requests: 22
  • Average time to close issues: 3 months
  • Average time to close pull requests: 4 days
  • Issue authors: 5
  • Pull request authors: 5
  • Average comments per issue: 1.43
  • Average comments per pull request: 0.77
  • Merged pull requests: 20
  • Bot issues: 0
  • Bot pull requests: 3
Top Authors
Issue Authors
  • billschereriii (40)
  • mellis13 (13)
  • ashao (5)
  • juliaputko (3)
  • MattToast (3)
  • rickybalin (2)
  • b-fg (2)
  • jrwrigh (2)
  • EricGustin (2)
  • Spartee (2)
  • SachinBM-CE (2)
  • al-rigazzi (2)
  • ankona (1)
  • ben-albrecht (1)
  • m-kurz (1)
Pull Request Authors
  • billschereriii (83)
  • ashao (53)
  • mellis13 (31)
  • MattToast (26)
  • amandarichardsonn (21)
  • al-rigazzi (17)
  • ankona (14)
  • github-actions[bot] (8)
  • AlyssaCote (6)
  • juliaputko (1)
  • jrwrigh (1)
  • gcoelho (1)
Top Labels
Issue Labels
type: feature (38) area: C++ (22) area: build (20) area: python (17) area: test (17) area: fortran (13) type: usability (10) bug: minor (10) type: refactor (10) area: C (8) Short task (8) area: third-party (7) area: CI/CD (6) bug: major (6) User Issue (6) type: bug (6) area: docs (5) type: performance (3) Epic (2) area: examples (2) API break (2) type: spike (1) user issue (1)
Pull Request Labels
area: C++ (37) area: python (30) area: docs (27) area: build (19) area: CI/CD (19) area: test (18) type: refactor (15) ignore-for-release (15) area: fortran (14) area: C (14) bug: minor (12) type: feature (9) area: third-party (7) area: release (6) Short task (4) API break (4) type: performance (4) User Issue (3) type: usability (3) short task (2) non-user-facing (2) type: design (1) area: examples (1) bug: major (1)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 474 last-month
  • Total docker downloads: 101,707
  • Total dependent packages: 1
  • Total dependent repositories: 5
  • Total versions: 13
  • Total maintainers: 2
pypi.org: smartredis

RedisAI clients for SmartSim

  • Versions: 13
  • Dependent Packages: 1
  • Dependent Repositories: 5
  • Downloads: 474 Last month
  • Docker Downloads: 101,707
Rankings
Docker downloads count: 4.1%
Dependent packages count: 4.8%
Dependent repos count: 6.6%
Average: 6.7%
Downloads: 6.8%
Forks count: 8.1%
Stargazers count: 9.5%
Maintainers (2)
Last synced: 6 months ago

Dependencies

requirements-dev.txt pypi
  • black ==20.8b1
  • breathe ==4.26.0
  • isort ==5.6.4
  • numpy >=1.18.2
  • pylint ==2.6.0
  • pytest >=6.0.0
  • pytest-cov ==2.10.1
  • sphinx ==3.1.1
  • sphinx-fortran ==1.1.1
  • sphinx_rtd_theme >=0.5.0
  • torch ==1.7.1
requirements.txt pypi
  • numpy >=1.18.2
.github/workflows/build_wheels.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • actions/upload-artifact v2 composite
.github/workflows/docker.yml actions
  • actions/checkout v2 composite
  • redislabs/redisai ${{ matrix.rai_v }}-cpu-xenial docker
.github/workflows/release.yml actions
  • actions/checkout v2 composite
  • actions/download-artifact v2 composite
  • actions/setup-python v2 composite
  • actions/upload-artifact v2 composite
  • pypa/gh-action-pypi-publish master composite
.github/workflows/run_tests.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • codecov/codecov-action v2 composite
  • redislabs/redisai ${{ matrix.rai_v }}-cpu-bionic docker
images/Dockerfile docker
  • ubuntu 20.04 build
tests/docker/c/Dockerfile docker
  • smartredis latest build
tests/docker/cpp/Dockerfile docker
  • smartredis latest build
tests/docker/fortran/Dockerfile docker
  • smartredis latest build
tests/docker/python/Dockerfile docker
  • smartredis latest build
pyproject.toml pypi
setup.py pypi
.github/workflows/run_static_and_examples.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite