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Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY
David Patterson

David Patterson
Professor Emeritus, UC Berkeley

David Patterson is a professor emeritus at UC Berkeley, a distinguished engineer at Google Brain, and vice chair of the board of the RISC-V Foundation. His most successful research projects are reduced instruction set computers (RISC), redundant arrays of inexpensive disks (RAID), and network of workstations, which together led to multibillion-dollar industries, seven books, and about 40 honors, including election to the National Academy of Engineering, the National Academy of Sciences, and the Silicon Valley Engineering Hall of Fame. He also shared the ACM Turing award, the IEEE von Neumann Medal, and NEC C&C prize with John Hennessy, past president of Stanford University and coauthor of two of his books. David holds an AB, MS, and PhD, all from UCLA.

Sessions

11:55am–12:35pm Wednesday, May 2, 2018
Location: Grand Ballroom East
David Patterson (UC Berkeley), Greg Diamos (Baidu), Cliff Young (Google), Peter Mattson (Google), Peter Bailis (Stanford University), Gu-Yeon Wei (Harvard University)
Average rating: ****.
(4.00, 1 rating)
Join in to explore MLPerf, a common benchmark suite for training and inference for systems from workstations through large-scale servers. In addition to ML metrics like quality and accuracy, MLPerf evaluate metrics such as execution time, power, and cost to run the suite. Read more.