Parallel Computing Experiences with CUDA

Michael Garland, Scott Le Grand, John Nickolls, Joshua A. Anderson, Jim Hardwick, Scott Morton, Everett Phillips, Yao Zhang

IEEE Micro · 2008 · 539 citations · 22 references

Concepts

Abstract

The CUDA programming model provides a straightforward means of describing inherently parallel computations, and NVIDIA's Tesla GPU architecture delivers high computational throughput on massively parallel problems. This article surveys experiences gained in applying CUDA to a diverse set of problems and the parallel speedups over sequential codes running on traditional CPU architectures attained by executing key computations on the GPU.

References

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