Rangharajan Venkatesan

Rangharajan Venkatesan is a Principal Research Scientist in the Accelerator & VLSI Research group in NVIDIA. He received the B.Tech. degree in Electronics and Communication Engineering from the Indian Institute of Technology,  Roorkee in 2009 and the Ph.D. degree in Electrical and Computer Engineering from Purdue University in 2014. His research interests are in the areas of low-power VLSI design and computer architecture with particular focus in deep learning accelerators, high-level synthesis, and spintronic memories. He has received Best Paper Awards for his work on deep learning accelerators from IEEE/ACM Symposium on Microarchitecture (MICRO) and Journal of Solid-State Circuits (JSSC). His work on spintronic memory design was recognized with the Best Paper Award at the International Symposium on Low Power Electronics and Design (ISLPED), and Best paper nomination at the Design, Automation and Test in Europe (DATE). His paper titled, “MACACO: Modeling and Analysis of Circuits for Approximate Computing”, received the IEEE/ACM International Conference on Computer-Aided Design (ICCAD) Ten Year Retrospective Most Influential Paper Award in 2021. He has served as a member of the technical program committees of several leading IEEE/ACM conferences including ISSCC, DAC, ISCA, MICRO, and ISLPED.