Gennady Pekhimenko is an Assistant Professor at the University of Toronto, CS department and (by courtesy) ECE department, where he is leading the EcoSystem (Efficient Computing Systems) group. Gennady is also a Faculty Member at Vector Institute and a CIFAR AI chair. Before joining Univ. of Toronto, he spent a year in 2017 at Microsoft Research in Redmond in the Systems Research group. He got his PhD from the Computer Science Department at Carnegie Mellon University in 2016. Gennady is a recipient of Amazon Machine Learning Research Award, Facebook Faculty Research Award, Connaught New Researcher Award, NVIDIA Graduate, Microsoft Research, Qualcomm Innovation, and NSERC CGS-D Fellowships. He was also recently inducted into the ISCA Hall of Fame and was a recipient of the MICRO Top Picks Award in 2021. His research interests are in the areas of systems, computer architecture, compilers, and applied machine learning.
Assistant Professor, University of Toronto
Canada CIFAR Artificial Intelligence Chair
Research Interests
- Systems for Machine Learning
- Machine Learning for Systems
- Computer Architecture
- Stream Processing
Highlights
- ISCA Hall of Fame
- MICRO Top Picks Award in 2021
- Amazon Machine Learning Research Award
- Facebook Faculty Research Award
- Connaught New Researcher Award
Publications
Distributed deep learning in open collaborations
2021
Moshpit SGD: Communication-efficient decentralized training on heterogeneous unreliable devices
2021
FPRaker: A Processing Element For Accelerating Neural Network Training
2021
LifeStream: a high-performance stream processing engine for periodic streams
2021
NVOverlay: enabling efficient and scalable high-frequency snapshotting to NVM
2021