His papers have been cited over 17,000 times. Three of his papers have been selected for IEEE Micro’s Top Picks from Computer Architecture, one more received an honorable mention, and four have won best paper awards. Inducted into the HPCA Hall of Fame in 2022. At Georgia Tech, he has been honored by multiple teaching awards.
Research Experience
Has been a visiting professor at MIT EECS + CSAIL, Harvard University CS, and a researcher at Intel’s VSSAD group. Currently serves as an Associate Director for the Center for Research into Novel Computing Hierarchies (CRNCH) at Georgia Tech and is a co-chair of the Chakra Execution Traces and Benchmarks Working group within ML Commons.
Education
PhD in Electrical Engineering and Computer Science from MIT (2014), MSE in Electrical Engineering from Princeton University (2009), B.Tech in Electrical Engineering from IIT Delhi (2007).
Background
Research interests span computer system architecture, interconnection networks and on-chip networks, AI/ML inference accelerators, and distributed training platforms. He is currently an Associate Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology, with a courtesy appointment in Computer Science.