Towards providing reliable job completion time predictions using PCS

18 January 2024

Papers citing "Towards providing reliable job completion time predictions using PCS"

4 / 4 papers shown

Title
Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs John Thorpe Pengzhan Zhao Jon Eyolfson Yifan Qiao Zhihao Jia Minjia Zhang Ravi Netravali Guoqing Harry Xu 34 56 0 26 Apr 2022
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning Aurick Qiao Sang Keun Choe Suhas Jayaram Subramanya Willie Neiswanger Qirong Ho Hao Zhang G. Ganger Eric Xing VLM 43 180 0 27 Aug 2020
Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads Deepak Narayanan Keshav Santhanam Fiodar Kazhamiaka Amar Phanishayee Matei A. Zaharia 34 207 0 20 Aug 2020
Serving DNNs like Clockwork: Performance Predictability from the Bottom Up A. Gujarati Reza Karimi Safya Alzayat Wei Hao Antoine Kaufmann Ymir Vigfusson Jonathan Mace 74 274 0 03 Jun 2020