Campus Lecture: February 8, 2019 at 2:40pm in E2-180
EECS Professor Emeritus and Professor in the Graduate School
Friday, February 8, 2:40 PM
Abstract: With the ending of Moore’s Law, many computer architects believe that major improvements in cost-energy-performance must now come from domain-specific hardware. The Tensor Processing Unit (TPU), deployed in Google datacenters since 2015, is a custom chip that accelerates deep neural networks (DNNs). We compare the TPU to contemporary server-class CPUs and GPUs deployed in the same datacenters.