DistributedML 2023


Tushar Krishna

Tushar Krishna is an Associate Professor (with tenure) in the School of ECE at Georgia Tech. He is currently also a Visiting Associate Professor at the Department of EECS at MIT. He held the ON Semiconductor (Endowed) Junior Professorship in the School of ECE at Georgia Tech from 2019-2021. He has a Ph.D. in Electrical Engineering and Computer Science from MIT. Before joining Georgia Tech in 2015, Dr. Krishna spent a year as a researcher at the VSSAD group at Intel, Massachusetts.

Dr. Krishna’s research spans computer architecture, interconnection networks, networks-on-chip (NoC), and AI/ML accelerator systems – with a focus on optimizing data movement in modern computing platforms.His research is funded via multiple awards from NSF, DARPA, IARPA, SRC (including JUMP2.0), Department of Energy, Intel, Google, Meta/Facebook, Qualcomm and TSMC. His papers have been cited over 14,000 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. Dr. Krishna was inducted into the HPCA Hall of Fame in 2022. He is currently serving as co-chair of the Chakra Execution Traces and Benchmarks Working group within ML Commons.

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