PPoPP 2025
Sat 1 - Wed 5 March 2025
Jidong Zhai

Registered user since Sun 6 May 2018

Name:Jidong Zhai
Bio:

Jidong Zhai is a Professor in the Department of Computer Science and Technology of Tsinghua University. He was a Visiting Professor of Stanford University (2015-2016) and a Visiting Scholar of MSRA (Microsoft Research Asia) in 2013. He is the general secretary of ACM SIGHPC China.

His current research interests include parallel computing, compiler, programming language, and performance evaluation. He has published in prestigious conferences (such as SC, ICS, PPOPP, ASPLOS, MICRO, OSDI, ATC, and PACT) and top-tier journals (such as IEEE TC and IEEE TPDS). His research received 2021 Best Paper Award for IEEE TPDS, Best Paper Award at CLUSTER’21, Best Student Paper Award at ICS’21, Best Paper Honorable Mention Award at ICDCS’20, and Best Paper Finalist at SC’14. He has served as a PC member for a number of international conferences including SC, ICS, PPoPP, IPDPS, ICPP, Cluster, and PACT. He was a program co-chair of NPC 2018. 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), Journal of Parallel and Distributed Computing (JPDC), and Journal of Parallel Computing (PARCO).

He is the advisor of the Tsinghua Student Cluster Team. The team led by him has achieved 13 international champions in student supercomputing challenges at SC, ISC, and ASC. In 2015 and 2018, the team led by him swept all three champions. He has got a number of awards including NSFC Distinguished Young Scholar (2022), First Prize of CCF Natural Science Award (2021), CCF-IEEE CS Young Computer Scientist Award (2020), IEEE TPDS Award for Editorial Excellence (2019), NSFC Young Career Award (2017), and CCF outstanding doctoral dissertation Award (2010).

Country:China
Affiliation:Tsinghua University
Research interests:Parallel Computing, Performance Analysis, Compiler

Contributions

2025

Principles and Practice of Parallel Programming

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