Scholar
Gennady Pekhimenko
Google Scholar ID: ZgqVLuMAAAAJ
University of Toronto
Citations & Impact
Citations
5,352
H-index
39
i10-index
70
Publications
20
Co-authors
186
list available
Publications
Resume (English only)
Academic Achievements
- 2023: Two papers accepted at ASPLOS 2023
- 2022: One paper accepted at NeurIPS 2022; two at PACT 2022; one at OSDI 2022; one at MLSys 2022; one at CGO 2022
- 2021: Two papers accepted at NeurIPS 2021; one at MICRO 2021; one at USENIX ATC 2021; one at ISCA 2021; four at MLSys 2021
- 2020: MLPerf Inference ISCA 2020 paper received MICRO Top Picks Award; one paper accepted at ASPLOS 2021; one at MICRO 2020; one at UIST 2020
- Inducted into ISCA Hall of Fame in June 2021
- Received VMware Early Career Faculty Grant (2022)
- Received Google Research Scholar Award (2022)
- Received AWS Machine Learning Research Award (2020)
- Received Facebook Faculty Research Award (AI Systems HW SW Co-Design, 2020)
- Received Facebook Research Gift (2020)
- Served on program committees for OSDI 2021 and MLSys 2021
- Gave a talk at Facebook Faculty Summit (2020)
Background
- Associate Professor, Department of Computer Science, University of Toronto
- Affiliated with Department of Computer and Mathematical Sciences, University of Toronto Scarborough
- Affiliated with Electrical and Computer Engineering, University of Toronto
- CEO and Co-Founder of CentML
- Faculty Member at Vector Institute
- CIFAR AI Chair
- Research interests: computer architecture, systems, and applied machine learning
- Primary research focus: efficient memory systems, systems for machine learning, stream processing, machine learning for systems, compilers, and hardware acceleration
