Presenter

Zizhong (Jeffrey) Chen is a professor in the Department of Computer Science and Engineering at the University of California, Riverside. He is interested in high performance computing, GPU programming, distributed machine learning, and big data analytics. Collaborating with ByteDance, his group has helped to develop ByteTransformer - a GPU-based high performance Transformer that powers all of ByteDance's in-house search businesses, including TikTok, Douyin, Xigua Video, Magellan, and Toutiao Search Portal, serving billions of daily active users worldwide. He has published over 150 papers with many in highly competitive conferences and journals such as SC, HPDC, ICS, SIGMOD, ICDE, PPoPP, IPDPS, TPDS, TC, TKDE, TPAMI, SIMAX, and SISC. He received a CAREER Award from the U.S. National Science Foundation and Best Paper Awards/Finalists from the IEEE International Parallel & Distributed Processing Symposium (IPDPS'23), the International Conference on Supercomputing (ICS'23), the IEEE International Conference on Cluster Computing (Cluster'18), the IEEE International Parallel & Distributed Processing Symposium (IPDPS'10) and the International Supercomputing Conference (ISC'05). Dr. Chen is a Senior Member of the IEEE and a Life Member of the ACM. He currently serves as Subject Area Editor for Elsevier Parallel Computing journal and he was Associate Editor for IEEE Transactions on Parallel and Distributed Systems from 2015-2019.