{"id":13604309,"url":"https://github.com/MachineLearningSystem/omnireduce","last_synced_at":"2025-04-11T23:32:15.841Z","repository":{"id":185461885,"uuid":"437256730","full_name":"MachineLearningSystem/omnireduce","owner":"MachineLearningSystem","description":null,"archived":false,"fork":true,"pushed_at":"2021-08-15T14:09:29.000Z","size":115,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2024-11-07T08:42:46.366Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":"sands-lab/omnireduce","license":null,"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":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2021-12-11T10:56:29.000Z","updated_at":"2021-12-11T10:56:30.000Z","dependencies_parsed_at":"2023-08-02T03:16:57.411Z","dependency_job_id":null,"html_url":"https://github.com/MachineLearningSystem/omnireduce","commit_stats":null,"previous_names":["machinelearningsystem/omnireduce"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningSystem%2Fomnireduce","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningSystem%2Fomnireduce/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningSystem%2Fomnireduce/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningSystem%2Fomnireduce/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MachineLearningSystem","download_url":"https://codeload.github.com/MachineLearningSystem/omnireduce/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248495119,"owners_count":21113574,"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":"2024-08-01T19:00:43.372Z","updated_at":"2025-04-11T23:32:10.829Z","avatar_url":"https://github.com/MachineLearningSystem.png","language":null,"readme":"# OmniReduce\nOmniReduce is an efficient sparse collective communication library. It maximizes effective bandwidth use by exploiting the sparsity of data.\n\nFor clusters without RDMA support, OmniReduce uses Intel DPDK for kernel bypass. GPUDirect can also be used where available.\n\n## Contents\n- omnireduce-DPDK: source code of DPDK-based OmniReduce\n- omnireduce-RDMA: source code of RDMA-based OmniReduce\n- [experiments](https://github.com/sands-lab/omnireduce-experiments): micro-benchmark and end-to-end scripts\n\n## Publications\n\n[OmniReduce](https://sands.kaust.edu.sa/project/omnireduce/) accepted at SIGCOMM’21.\n","funding_links":[],"categories":["Paper-Code"],"sub_categories":["Communication"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FMachineLearningSystem%2Fomnireduce","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FMachineLearningSystem%2Fomnireduce","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FMachineLearningSystem%2Fomnireduce/lists"}