DistributedML 2021


Vijay Janapa Reddi

Dr Janapa Reddi is an Associate Professor in John A. Paulson School of Engineering and Applied Sciences at Harvard University. Prior to joining Harvard, he was an Associate Professor at The University of Texas at Austin in the Department of Electrical and Computer Engineering.

He is a founding member of MLCommons, a non-profit organization focused on accelerating AI innovation, and serves on the MLCommons Board of Directors. He is a Co-Chair of MLPerf Inference that is responsible for fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.

He works closely with the industry. He spent his academic sabbatical at Google from 2017 to early 2019 and over the years he has consulted for other companies such as Facebook, Intel and AMD.

His primary research interests include computer architecture and system-software design to enable mobile computing and autonomus machines. His secondary research interests include building high-performance, energy-efficient and resilient computer systems.

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