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A performance model for general-purpose computation on GPU
Han, Bo ; Zhou, Bingfeng
刊名jisuanji fuzhu sheji yu tuxingxue xuebaojournal of computer aided design and computer graphics
2009
英文摘要We present an efficient model to analyze and improve the performance of general-purpose computation on graphics processing units (GPGPU). After analyzing the parallel architecture and massive-thread working mechanism of modern GPUs, we build a performance model on a four-level stream processing pipeline, including data input, computation, output and transfer. We further conclude two key factors for GPGPU applications to achieve high performance: high intensity in both computation and memory access. To demonstrate the effectiveness of our model, we highlight its performance on three typical image processing applications, including Gaussian convolution, DCT and motion estimation. Guided by our performance model, some techniques are put forward to remove the performance bottleneck and achieve 4~10 times performance improvement. In practice, the experimental results fit well with the estimations of our proposed model.; EI; 0; 9; 1219-1226; 21
语种英语
内容类型期刊论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/321323]  
专题计算机科学技术研究所
推荐引用方式
GB/T 7714
Han, Bo,Zhou, Bingfeng. A performance model for general-purpose computation on GPU[J]. jisuanji fuzhu sheji yu tuxingxue xuebaojournal of computer aided design and computer graphics,2009.
APA Han, Bo,&Zhou, Bingfeng.(2009).A performance model for general-purpose computation on GPU.jisuanji fuzhu sheji yu tuxingxue xuebaojournal of computer aided design and computer graphics.
MLA Han, Bo,et al."A performance model for general-purpose computation on GPU".jisuanji fuzhu sheji yu tuxingxue xuebaojournal of computer aided design and computer graphics (2009).
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