Full-Stack, GPU-based Acceleration of Deep Learning and Foundation Models
Jason Clemons, Hongxu (Danny) Yin, and Xinglong Sun
Abstract
This tutorial offers insights across the hardware-software stack to accelerate deep neural networks, from convolutions to multimodal LLMs. Attendees will learn practical tools and trade-offs to optimize performance and inspire the next generation of scalable acceleration techniques.
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