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Daniel Wong is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of California, Riverside. His research spans Computer Architecture, High-Performance Computing, and Datacenter-scale Computing. Current research work focuses on improving the power, performance, and programmability efficiencies of GPU-based computer systems. His work has appeared in many top-tier conference venues such as ASPLOS, ISCA, MICRO, HPCA, ICS, and IPDPS. His work on data center energy efficiency was recognized as an IEEE Micro Top Picks from the Computer Architecture Conferences in 2012.

Daniel completed his PhD in Electrical Engineering, MS in Electrical Engineering, and BS in Computer Engineering and Computer Science, all at the University of Southern California. In the past, he also worked on cyber-security and non-volatile memory management at Lawrence Livermore National Labs and emerging non-volatile memory architecture at Samsung Semiconductor, Inc. R&D. Additional information about Daniel can be found on his webpages:
Education, Training and Outreach
HPC Training and Education
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