Data movement is a significant consumer of energy in modern computer systems.To reduce these costs, recent work has proposed …
I am a postdoctoral researcher at Sandia National Labs focusing on linear algebra accelerators. My research interests include memory-centric accelerators, emerging resistive memory technologies, heterogeneous architectures, energy efficient data representations, and hardware security.
PhD in Electrical Engineering, 2019
University of Rochester
MSc in Electrical Engineering, 2014
University of Rochester
BSc in Electrical and Computer Engineering, 2012
University of Rochester
Data movement is a significant consumer of energy in modern computer systems.To reduce these costs, recent work has proposed …
A memory controller system has been designed and implemented in ERSFQ technology at Hypres, Inc. Its microarchitecture and logic design …
Linear algebra is ubiquitous across virtually every field of science and engineering, from climate modeling to macroeconomics. This …
Honorable Mention for IEEE MICRO Top Picks.
Deep neural networks (DNNs) have attracted substantial interest in recent years due to …