Parallel computing experiences with CUDA
Parallel computing experiences with CUDA
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DOI：
10.1109/mm.2008.57
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发表时间：
2008-07-01
期刊：
影响因子：
3.6
通讯作者：
Volkov, Vasily
中科院分区：
文献类型：
--
作者：
Garland, Michael;Le Grand, Scott;Volkov, Vasily
CUDA编程模型提供了一种简单的方法来描述固有的并行计算，NVIDIA的Tesla GPU架构在大规模并行问题上提供了高计算吞吐量。本文概述了将CUDA应用于各种问题的经验，以及通过在GPU上执行关键计算获得的在传统CPU架构上运行的顺序代码的并行加速。
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.