J4 ›› 2007, Vol. 29 ›› Issue (11): 131-133.
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杜静 敖富江 杨学军
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摘要:
Imagine是一款致力于媒体处理的流体系结构芯片,而它是否适合科学计算应用是当前国际上的热点讨论问题。本文研究了典型科学计算核心——矩阵向量乘在Imagine处理器 上的有效映射,主要开发了四种不同的流程序版本,并且提出了优化方法。实验结果表明,经过优化的矩阵向量乘程序能够开发Imagine处理器的潜能。
关键词: 矩阵向量乘Imagine三级存储层次 计算密集性 stripmining
Abstract:
Imagine is a stream processor aiming at media applications. However, whether scientific computing applications are suited for Imagine is a hot topic. In this paper, we propose an efficient stream program development technique on Imagine for matrix-vector multiplication, which is a representative scien tific computing kernel. Especially, we propose four different program versions of this kernel, and explore efficient programming optimizations. The experimental results show that matrix-vector multiplication can efficiently exploit the tremendous potential of the Imagine stream processor through program ming optimization.
Key words: (matrix-vector multiplieation, Imagine, three level memory hierarehy, computational intesiveness;  , stripmining)
杜静 敖富江 杨学军. 矩阵向量乘在流处理器上的实现[J]. J4, 2007, 29(11): 131-133.
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链接本文: http://joces.nudt.edu.cn/CN/
http://joces.nudt.edu.cn/CN/Y2007/V29/I11/131