Jidong Zhai

Registered user since Sun 6 May 2018

Name:Jidong Zhai

Jidong Zhai is a Tenured Associate Professor in the Computer Science Department of Tsinghua University. He is a recipient of Siebel Scholar, CCF outstanding doctoral dissertation Award, IEEE TPDS Award for Editorial Excellence, and NSFC Young Career Award. He was a Visiting Professor of Stanford University (2015-2016) and a Visiting Scholar of MSRA (Microsoft Research Asia) in 2013. His research interests include parallel computing, performance evaluation, compiler optimization, and heterogeneous computing. He has published more than 50 papers in prestigious refereed conferences and top journals including SC, PPOPP, ASPLOS, ICS, ATC, MICRO, NSDI, IEEE TPDS, and IEEE TC. His research received a Best Paper Finalist at SC14. He is the advisor of Tsinghua Student Cluster Team. The team led by him has achieved 10 international champions in student supercomputing challenges at SC, ISC, and ASC. In 2015 and 2018, the team led by him swept all three champions at SC, ISC, and ASC. He was a program co-chair of NPC 2018 and a program co-chair of ICPP PASA 2015 workshop. He served or is now serving TPC member of SC, ICS, PPOPP, IPDPS, ICPP, NAS, LCPC, and Euro-Par. He is the general secretary of ACM SIGHPC China. He is currently on the editorial boards of IEEE Transactions on Computers (TC), IEEE Transactions on Parallel and Distributed Systems (TPDS), IEEE Transactions on Cloud Computing (TCC), and Journal of Parallel and Distributed Computing.

Affiliation:Tsinghua University
Research interests:High Performance Computing, Performance Analysis, Heterogeneous Computing


PLDI 2022 Author of FreeTensor: A Free-form DSL with Holistic Optimizations for Irregular Tensor Programs within the PLDI-track
PPoPP 2022 Publicity Co-Chair (Asia) in Organizing Committee
Author of PerFlow: A Domain Specific Framework for Automatic Performance Analysis of Parallel Applications within the Main Conference-track
Author of FasterMoE: Modeling and Optimizing Training of Large-Scale Dynamic Pre-Trained Models within the Main Conference-track
Author of Vapro: Performance Variance Detection and Diagnosis for Production-Run Parallel Applications within the Main Conference-track
Committee Member in Program Committee
Author of BAGUALU: Targeting Brain Scale Pretrained Models with over 37 Million Cores within the Main Conference-track
LCTES 2021 China in Program Committee within the LCTES 2021-track
PPoPP 2021 Committee Member in Program Committee
Author of Understanding and Bridging the Gaps in Current GNN Performance Optimizations within the Main Conference-track
Publicity Co-Chair (Asia) in Organizing Committee
PPoPP 2020 Author of Poster: Identifying Scalability Bottlenecks for Large-Scale Parallel Programs with Graph Analysis within the Brief Announcements-track
Committee Member in Program Committee
PPoPP 2019 ERC member in Extended Review Committee
Session Chair of Session 7: Scheduling (part of Main Conference)
Author of GOPipe: A Granularity-Oblivious Programming Framework for Pipelined Stencil Executions on GPU within the Posters-track