Ayush Agarwal is a GPU Architect at NVIDIA, where they create and enable advanced features for enhanced graphics and high-performance applications. Previously, Ayush served as a Graduate Research and Teaching Assistant in Prof. Wen-mei Hwu's IMPACT group at the University of Illinois, Urbana-Champaign, focusing on memory access patterns and hybrid memory systems. They also interned at IBM, where they accelerated data transformation for AI inferences through custom hardware solutions, and worked at Qualcomm on optimizing CPU, GPU, and DDR performance for Snapdragon chipsets. Ayush holds a Master’s degree in Electrical and Computer Engineering and a Bachelor’s degree in Electronics and Communications Engineering.
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