{"id":13476889,"url":"https://github.com/mlcommons/hpc","last_synced_at":"2025-10-19T03:39:40.256Z","repository":{"id":39870769,"uuid":"303466182","full_name":"mlcommons/hpc","owner":"mlcommons","description":"Reference implementations of MLPerf™ HPC training benchmarks","archived":false,"fork":false,"pushed_at":"2025-02-25T23:27:54.000Z","size":2993,"stargazers_count":45,"open_issues_count":14,"forks_count":21,"subscribers_count":16,"default_branch":"main","last_synced_at":"2025-02-26T00:25:32.940Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://mlcommons.org/en/groups/training-hpc/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mlcommons.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":".github/CODEOWNERS","security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-10-12T17:34:48.000Z","updated_at":"2025-02-25T23:27:58.000Z","dependencies_parsed_at":"2024-01-13T18:27:10.483Z","dependency_job_id":"70b3b342-3eed-4790-808f-82508dbb36a4","html_url":"https://github.com/mlcommons/hpc","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mlcommons%2Fhpc","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mlcommons%2Fhpc/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mlcommons%2Fhpc/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mlcommons%2Fhpc/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mlcommons","download_url":"https://codeload.github.com/mlcommons/hpc/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245784989,"owners_count":20671621,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-07-31T16:01:35.775Z","updated_at":"2025-10-19T03:39:35.224Z","avatar_url":"https://github.com/mlcommons.png","language":"Jupyter Notebook","funding_links":[],"categories":["Jupyter Notebook"],"sub_categories":[],"readme":"# MLPerf™ HPC reference implementations\n\nThis is a repository of reference implementations for the MLPerf HPC benchmarks.\n\nGeneral format should follow https://github.com/mlperf/training.\n\n## Rules\n\nThe MLPerf HPC rules are based on the MLPerf Training rules with\nsome adjustments.\n\nThe MLPerf Training rules are available at [training\\_rules](https://github.com/mlcommons/training_policies/blob/master/training_rules.adoc).\n\nThe MLPerf HPC specific rules are at [hpc\\_training\\_rules](https://github.com/mlcommons/training_policies/blob/master/hpc_training_rules.adoc).\n\n## Compliance\nThe MLPerf logging package implements logging and compliance-checking utilities. This is available in hpc-1.0-branch of the MLPerf logging repository (https://github.com/mlcommons/logging/tree/hpc-1.0-branch).\nThese work for the HPC v2.0 submissions as well.\n\nTo install and test compliance of your runs/submissions:\n\n```\n# Install the package into your python environment.\n# A development install (-e) is recommended for now so you can pull new updates.\ngit clone -b hpc-1.0-branch https://github.com/mlcommons/logging mlperf-logging\npip install [--user] -e mlperf-logging\n\n# Test a full submission folder\npython3 -m mlperf_logging.package_checker \u003cYOUR SUBMISSION_FOLDER\u003e hpc 1.0.0\n```\n\nThere is also a script that performs compliance checks and summarizes the results. From the mlperf-logging directory (https://github.com/mlcommons/logging), use\n```\n./scripts/verify_for_v1.0_hpc.sh\n```\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmlcommons%2Fhpc","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmlcommons%2Fhpc","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmlcommons%2Fhpc/lists"}