{"id":18711242,"url":"https://github.com/rocm/tensile","last_synced_at":"2025-04-05T07:04:59.772Z","repository":{"id":37547242,"uuid":"45614485","full_name":"ROCm/Tensile","owner":"ROCm","description":"Stretching GPU performance for GEMMs and tensor contractions.","archived":false,"fork":false,"pushed_at":"2024-06-04T19:03:45.000Z","size":97278,"stargazers_count":196,"open_issues_count":25,"forks_count":136,"subscribers_count":55,"default_branch":"develop","last_synced_at":"2024-06-04T19:05:17.825Z","etag":null,"topics":["amd","assembly","auto-tuning","blas","dnn","gemm","gpu","gpu-acceleration","gpu-computing","hip","machine-learning","matrix-multiplication","neural-networks","opencl","python","radeon","tensor-contraction","tensors"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ROCm.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","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":"2015-11-05T13:58:49.000Z","updated_at":"2024-06-07T20:33:41.407Z","dependencies_parsed_at":"2023-10-11T21:45:44.319Z","dependency_job_id":"2084fef6-b255-49d5-876a-0cac819886e9","html_url":"https://github.com/ROCm/Tensile","commit_stats":{"total_commits":4113,"total_committers":112,"mean_commits":"36.723214285714285","dds":0.737417943107221,"last_synced_commit":"78c578deeaee4cc88860c3f77854dc665264dba3"},"previous_names":["rocm/tensile","rocmsoftwareplatform/tensile"],"tags_count":95,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ROCm%2FTensile","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ROCm%2FTensile/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ROCm%2FTensile/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ROCm%2FTensile/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ROCm","download_url":"https://codeload.github.com/ROCm/Tensile/tar.gz/refs/heads/develop","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247299831,"owners_count":20916190,"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":["amd","assembly","auto-tuning","blas","dnn","gemm","gpu","gpu-acceleration","gpu-computing","hip","machine-learning","matrix-multiplication","neural-networks","opencl","python","radeon","tensor-contraction","tensors"],"created_at":"2024-11-07T12:38:06.511Z","updated_at":"2025-04-05T07:04:59.753Z","avatar_url":"https://github.com/ROCm.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"Tensile is a tool for creating benchmark-driven backend libraries for GEMMs, GEMM-like problems (such as batched GEMM), and general N-dimensional tensor contractions on a GPU.\nThe Tensile library is mainly used as a backend library for rocBLAS.\nTensile acts as the performance backbone for a wide variety of 'compute' applications running on AMD GPUs.\n\n\u003e [!NOTE]\n\u003e The published documentation is available at [Tensile](https://rocm.docs.amd.com/projects/Tensile/en/latest/index.html) in an organized, easy-to-read format, with search and a table of contents. The documentation source files reside in the `Tensile/docs/src` folder of this repository. As with all ROCm projects, the documentation is open source. For more information on contributing to the documentation, see [Contribute to ROCm documentation](https://rocm.docs.amd.com/en/latest/contribute/contributing.html).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frocm%2Ftensile","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frocm%2Ftensile","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frocm%2Ftensile/lists"}