ChronusArtifact
Artifact for ACM SoCC '21
https://dl.acm.org/doi/10.1145/3472883.3486978
This 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:
-
survey: The detailed statstical information of user survey -
code: Python Implementation of Chronus.
Trace We Use
Helios traces (SenseTime) download from HeliosData.
Philly traces (Microsoft) download from philly-traces.
Citation
If you use this code or survey in your research, please cite this project.
@inproceedings{10.1145/3472883.3486978,
author = {Gao, Wei and Ye, Zhisheng and Sun, Peng and Wen, Yonggang and Zhang, Tianwei},
title = {Chronus: A Novel Deadline-Aware Scheduler for Deep Learning Training Jobs},
year = {2021},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3472883.3486978},
doi = {10.1145/3472883.3486978},
booktitle = {Proceedings of the ACM Symposium on Cloud Computing},
pages = {609–623},
numpages = {15},
keywords = {Deadline-aware Scheduler, Deep Learning Training, Cluster Management System, GPU Datacenter},
location = {Seattle, WA, USA},
series = {SoCC '21}
}