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Brook for GPUs: Stream computing on graphics hardware

delete2004-08-01
delete707
PRE
AI
T
Tim Foley
K
Kayvon Fatahalian
M
Mike Houston
P
Pat Hanrahan
DOI：10.1145/1015706.1015800delete
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摘要

摘要

En 中文
在本文中，我们介绍了Brook for gpu，这是一种用于在可编程图形硬件上进行通用计算的系统。Brook将C扩展为包含简单的数据并行构造，从而可以将GPU用作流协处理器。我们提出了一个编译器和运行时系统，该系统抽象和虚拟化图形硬件的许多方面。此外，我们对GPU作为计算引擎与CPU相比的有效性进行了分析，以确定GPU何时可以在特定算法上优于CPU。我们通过五个应用程序来评估我们的系统，SAXPY和SGEMV bras运算符，图像分割，FFT和射线跟踪。对于这些应用，我们证明了我们的Brook实现的性能与手写GPU代码相当，并且比CPU代码快7倍。
Keyword:
programmable graphics hardware
data parallel computing
stream computing
GPU computing
Brook
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期刊

ACM Transactions on Graphics 封面图
ACM Transactions on Graphics
IF:
9.5
论文数:
4.7K
被引数:
3.6W

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