In summer 2017, Pekhimenko joined University of Toronto, CS Department as an Assistant Professor where he leads the EcoSystem research group. His work is funded by Huawei, Xilinx, NVIDIA, IBM, and NSERC.
From July 2016 he was a Researcher in Systems Research Group at Microsoft Research in Redmond. Pekhimenko got his PhD from Computer Science Department at Carnegie Mellon University, working with Professor Todd Mowry and Professor Onur Mutlu. His work was funded by NVIDIA Graduate, Microsoft Research, Qualcomm Innovation, and NSERC CGS-D Fellowships.
Pekhimenko is generally interested in the areas of computer architecture, systems, and applied machine learning. His major research focus is on efficient memory hierarchy designs, systems for machine learning, approximate computing, compilers, and hardware acceleration.