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
Peter Mattson

Peter Mattson
Engineer, Google

Peter Mattson is a staff engineer at Google Brain, where he originated and coordinates the multi-organization MLPerf benchmarking effort. Previously, he led the Programming Systems and Applications Group at NVIDIA Research, was VP of software infrastructure for Stream Processors Inc (SPI), and was a managing engineer at Reservoir Labs. He has authored more than a dozen technical papers as well as four patents. His research focuses on accelerating and understanding the behavior of machine learning systems by applying novel benchmarks and analysis tools. Peter holds a PhD and MS from Stanford University and a BS from the University of Washington.

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.