Petuum Awarded OSDI 2021 Best Paper for Goodput-Optimized Deep Learning Research
PITTSBURGH and SUNNYVALE, Calif., July 27, 2021 /PRNewswire/ -- Petuum's CASL research and engineering team has won this year's OSDI 2021 Best Paper Award.
- PITTSBURGH and SUNNYVALE, Calif., July 27, 2021 /PRNewswire/ -- Petuum's CASL research and engineering team has won this year's OSDI 2021 Best Paper Award.
- This effort is led by Dr. Aurick Qiao who heads the Composability, Automatic, and Scalable Learning ( CASL ) research and engineering team at Petuum .
- Dr. Qiao received the Jay Lepreau Best Paper Award at the 15th USENIX Symposium on Operating Systems Design and Implementation ( OSDI ) 2021 for the paper he co-authored, Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning whichcaptures the revolutionary work implemented using one of CASL's key components, AdaptDL .
- Pollux as implemented by AdaptDL improves scheduling performance in deep learning (DL) clusters by adaptively co-optimizing inter-dependent factors both at the per-job level and at the cluster-wide level.