Presented By O’Reilly and Intel AI
Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY
Greg Diamos

Greg Diamos
Senior Researcher, SVAIL, Baidu

Greg Diamos leads computer systems research at Baidu’s Silicon Valley AI Lab (SVAIL), where he helped develop the Deep Speech and Deep Voice systems. Previously, Greg contributed to the design of compiler and microarchitecture technologies used in the Volta GPU at NVIDIA. Greg holds a PhD from the Georgia Institute of Technology, where he led the development of the GPU-Ocelot dynamic compiler, which targeted CPUs and GPUs from the same program representation.

Sessions

11:55am–12:35pm Wednesday, May 2, 2018
MLPerf: A benchmark suite for machine learning from an academic-industry cooperative
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.