Session Chair: Christina Giannoula (Univ. of Toronto)

Concerto: Automatic Communication Optimization and Scheduling for Large-Scale Deep Learning
Shenggan Cheng (National University of Singapore), Shengjie Lin (Georgia Institute of Technology), Lansong Diao (Alibaba Group), Hao Wu (George Mason University), Siyu Wang (Alibaba Group), Chang Si (Alibaba Group), Ziming Liu (National University of Singapore), Xuanlei Zhao (National University of Singapore), Jiangsu Du (Sun Yat-sen University), Wei Lin (Alibaba Group), Yang You (National University of Singapore)
Paper

Design and Operation of Shared Machine Learning Clusters on Campus
Kaiqiang Xu (Hong Kong University of Science and Technology), Decang Sun (Hong Kong University of Science and Technology), Hao Wang (Hong Kong University of Science and Technology), Zhenghang Ren (Hong Kong University of Science and Technology), Xinchen Wan (Hong Kong University of Science and Technology), Xudong Liao (Hong Kong University of Science and Technology), Zilong Wang (Hong Kong University of Science and Technology), Junxue Zhang (Hong Kong University of Science and Technology), Kai Chen (Hong Kong University of Science and Technology)
Paper

PCcheck: Persistent Concurrent Checkpointing for ML
Foteini Strati (ETH Zurich), Michal Friedman (ETH Zurich), Ana Klimovic (ETH Zurich)
Paper

Tally: Non-Intrusive Performance Isolation for Concurrent Deep Learning Workloads
Wei Zhao (Stanford University,CentML), Anand Jayarajan (University of Toronto,Vector Institute), Gennady Pekhimenko (University of Toronto,Vector Institute)
Paper

Load and MLP-Aware Thread Orchestration for Recommendation Systems Inference on CPUs
Rishabh Jain (The Pennsylvania State University), Teyuh Chou (Advanced Micro Devices, Inc.), Onur Kayiran (Advanced Micro Devices, Inc.), John Kalamatianos (Advanced Micro Devices, Inc.), Gabriel H. Loh (Advanced Micro Devices, Inc.), Mahmut T. Kandemir (The Pennsylvania State University), Chita R. Das (The Pennsylvania State University)
Paper