Leading teams working on performance optimizations for Gemini on GPUs, and analytical modeling of workload performance on current and future generation GPUs

Performance and Software Optimization for DL training on the world's largest chip

I was a part of NVIDIA's core Deep Learning Architecture group working on HPC and ML kernel performance.

Before that, I was an Architect in the SM Architecture group working on improving energy efficiency. My contributions involved studying the mapping of Deep Learning applications on the SM and Tensor cores, and working on micro-architectural strong scaling features to reduce energy consumption. I also spent time prototyping JIT translators for generating performant GPU assembly.

May 2020 - June 2021

Jun 2017 - May 2020

Mathematical modeling of performance scaling in many core tiled CPU architectures

Performance Modelling and Analysis for a next generation ARM CPU