GPUs: Architecture and Programming

In course

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Description

This lecture covers the architecture and programming of GPUs, focusing on their massively threaded hardware and the CUDA programming model. Topics include multithreading strategies, SIMD vs. vector processors, image processing examples, GPU history, and the importance of GPUs in modern computing. The instructor emphasizes the need for early start and correctness in GPU programming, with suggestions for optimizing performance.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_uiolg26t

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Ontological neighbourhood

Computer engineering

High-performance computing: Parallel computing

Hardware engineering: Microprocessors

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