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
Cliff Young

Cliff Young
Data Scientist, Google

Cliff Young is a data scientist on the Google Brain team, where he works on codesign for deep learning accelerators. He is one of the designers of Google’s Tensor Processing Unit (TPU), which is used in production applications including Search, Maps, Photos, and Translate. TPUs also powered AlphaGo’s historic 4-1 victory over Go champion Lee Sedol. Previously, Cliff built special-purpose supercomputers for molecular dynamics at D. E. Shaw Research and worked at Bell Labs. A member of ACM and IEEE, he holds AB, MS, and PhD degrees in computer science from Harvard University.

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.