Saurav Muralidharan, Ph.D.

 

I am a researcher in the Programming Systems Research Group at NVIDIA. My current work focuses on optimizing deep neural networks for performance and scalability. More broadly, I am interested in programming models, compilers, and runtime systems for parallel architectures such as GPUs.

Prior to joining NVIDIA, I received my Ph.D. in Computer Science from the University of Utah under the guidance of Prof. Mary Hall. While at Utah, I worked on machine learning-based techniques to improve the performance, portability, and energy efficiency of GPU programs.

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