Lecture

GPU Memory Hierarchy: Optimization

In course

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Description

This lecture covers GPU memory hierarchy, including global, local, shared memory, and caches. It explains the challenges of SIMT execution, such as banked shared memory and inefficient global memory access. Optimization strategies are discussed, emphasizing coalescing memory accesses, reducing bank conflicts, eliminating warp divergence, and minimizing excess instructions.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_of2iwue5

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Ontological neighbourhood

Computer engineering

High-performance computing: Parallel computing, Real-time computing

Computer architecture: Topics in computer architecture

Hardware engineering: Microprocessors

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