{"id":13604143,"url":"https://github.com/MachineLearningSystem/bamboo","last_synced_at":"2025-04-11T23:32:04.339Z","repository":{"id":185461679,"uuid":"557115392","full_name":"MachineLearningSystem/bamboo","owner":"MachineLearningSystem","description":"Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.","archived":false,"fork":true,"pushed_at":"2022-07-28T17:32:10.000Z","size":25607,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2024-11-07T08:42:17.343Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":"uclasystem/bamboo","license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MachineLearningSystem.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2022-10-25T05:21:19.000Z","updated_at":"2022-09-25T13:19:55.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/MachineLearningSystem/bamboo","commit_stats":null,"previous_names":["machinelearningsystem/bamboo"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningSystem%2Fbamboo","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningSystem%2Fbamboo/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningSystem%2Fbamboo/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningSystem%2Fbamboo/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MachineLearningSystem","download_url":"https://codeload.github.com/MachineLearningSystem/bamboo/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248495057,"owners_count":21113559,"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":"2024-08-01T19:00:40.495Z","updated_at":"2025-04-11T23:31:59.324Z","avatar_url":"https://github.com/MachineLearningSystem.png","language":null,"readme":"Afforable deep learning through resilient preemptible instances.\n\nv0.1 - 01/20/22\n\n# Summary of Bamboo\nBamboo is a system for running large scale DNNs using **pipeline parallelism**\naffordably, reliably, and efficiently on spot instances.\nIt is built on top of [DeepSpeed](https://github.com/microsoft/DeepSpeed).\nIt uses redundant computation in the pipeline by taking advantage of\npipeline bubbles to enable low-pause recovery from failures.\n\n\n## Setup\n\nEnsure you have the following requirements:\n\n- Python 3.7\n- PyTorch 1.10.0\n\nDocumentation has the following requirements:\n\n- TeX Live\n- Biber\n\nFirst, create the virtual environment:\n\n    python -m venv --system-site-packages venv\n    source venv/bin/activate\n    pip install -U pip\n    pip install -r requirements.txt\n\nFor the documentation you may want to create a `~/.latexmkrc` file containing\nthe following (this example uses Evince):\n\n    $pdf_previewer = 'start evince';\n\n## Running\n\nStart all commands with the following:\n\n    python -m project_pactum\n\nFor the documentation, go to the directory of whichever document you want to\nbuild and run the following:\n\n    latexmk -pvc\n\nThis command will recompile the LaTeX file as many times as needed and open it\nin your preferred PDF viewer. For modifications keep this command running, and\nthe document recompiles automatically.\n","funding_links":[],"categories":["Paper-Code"],"sub_categories":["Parallellism Training"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FMachineLearningSystem%2Fbamboo","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FMachineLearningSystem%2Fbamboo","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FMachineLearningSystem%2Fbamboo/lists"}