Dr. Krishna’s research spans computer architecture, interconnection networks, networks-on-chip (NoC), and deep learning accelerators – with a focus on optimizing data movement in modern computing systems. His research is funded via multiple awards from NSF, DARPA, IARPA, SRC, Department of Energy, Intel, Google, Meta/Facebook, Qualcomm and TSMC. His papers have been cited over 13,000 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. He was inducted into the HPCA Hall of Fame in 2022. At Georgia Tech, he has been honored by the “Class of 1940 Course Survey Teaching Effectiveness Award” in 2018, the “Roger P. Webb Outstanding Junior Faculty Award” from the School of ECE in 2021, and the Richard M. Bass/Eta Kappa Nu Outstanding Junior Teacher Award” in 2023.

RESEARCH INTERESTS
Computer System Architecture
Interconnection Networks and On-Chip Networks
Reconfigurable Computing
Deep Learning Inference Accelerators
Deep Learning Training Platforms
ML-assisted System Design
Edge/Fog Computing