{"id":13604822,"url":"https://github.com/MachineLearningSystem/ChronusArtifact","last_synced_at":"2025-04-12T02:31:43.350Z","repository":{"id":185461695,"uuid":"557647099","full_name":"MachineLearningSystem/ChronusArtifact","owner":"MachineLearningSystem","description":null,"archived":false,"fork":true,"pushed_at":"2022-01-07T08:31:45.000Z","size":5905,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2024-08-02T19:36:29.325Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":"S-Lab-System-Group/ChronusArtifact","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":"2022-10-26T03:22:32.000Z","updated_at":"2022-07-20T08:44:12.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/MachineLearningSystem/ChronusArtifact","commit_stats":null,"previous_names":["machinelearningsystem/chronusartifact"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningSystem%2FChronusArtifact","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningSystem%2FChronusArtifact/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningSystem%2FChronusArtifact/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningSystem%2FChronusArtifact/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MachineLearningSystem","download_url":"https://codeload.github.com/MachineLearningSystem/ChronusArtifact/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":223489660,"owners_count":17153797,"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":"2024-08-01T19:00:51.681Z","updated_at":"2024-11-07T09:31:00.701Z","avatar_url":"https://github.com/MachineLearningSystem.png","language":null,"readme":"# ChronusArtifact\n\n## Artifact for ACM SoCC '21\n[https://dl.acm.org/doi/10.1145/3472883.3486978](https://dl.acm.org/doi/10.1145/3472883.3486978)\n\nThis repository contains the artifact for the ACM SoCC '21 paper \"*Chronus: A Novel Deadline-aware Scheduler for Deep Learning Training Jobs*\". It includes following 2 parts:\n\n+ `survey`: The detailed statstical information of user survey \n\n+ `code`: Python Implementation of Chronus.\n\n## Trace We Use\nHelios traces (SenseTime) download from [HeliosData](https://github.com/S-Lab-System-Group/HeliosData). \n\nPhilly traces (Microsoft) download from [philly-traces](https://github.com/msr-fiddle/philly-traces). \n\n\n## Citation \nIf you use this code or survey in your research, please cite this project.\n\n```\n@inproceedings{10.1145/3472883.3486978,\n  author = {Gao, Wei and Ye, Zhisheng and Sun, Peng and Wen, Yonggang and Zhang, Tianwei},\n  title = {Chronus: A Novel Deadline-Aware Scheduler for Deep Learning Training Jobs},\n  year = {2021},\n  publisher = {Association for Computing Machinery},\n  address = {New York, NY, USA},\n  url = {https://doi.org/10.1145/3472883.3486978},\n  doi = {10.1145/3472883.3486978},\n  booktitle = {Proceedings of the ACM Symposium on Cloud Computing},\n  pages = {609–623},\n  numpages = {15},\n  keywords = {Deadline-aware Scheduler, Deep Learning Training, Cluster Management System, GPU Datacenter},\n  location = {Seattle, WA, USA},\n  series = {SoCC '21}\n}\n```\n","funding_links":[],"categories":["Paper-Code"],"sub_categories":["GPU Cluster Management"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FMachineLearningSystem%2FChronusArtifact","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FMachineLearningSystem%2FChronusArtifact","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FMachineLearningSystem%2FChronusArtifact/lists"}