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Parallel Computing Experiences with CUDA

Michael Garland, Scott LeGrand, John R. Nickolls, Joshua A. Anderson, Jim Hardwick, Scott Morton, Everett H. Phillips, Yao Zhang, Vasily M. Volkov

📖 IEEE Micro → 📅 2008-07-01 🔗 DOI: 10.1109/mm.2008.57
View Journal Profile → View Official Paper ↗

📄 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.

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