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Received:May 20, 2013 Revised:June 13, 2013
Received:May 20, 2013 Revised:June 13, 2013
中文摘要: BWDSP是一款针对高性能计算领域设计的处理器，采用多簇超长指令字（VLIW）体系结构和SIMD架构，同时也提供了很多向量化指令. 然而现有的编译框架无法对这些向量化指令提供支持，因此本文提出了一种向量化优化算法，可以显著提高一些在DSP领域有着广泛应用的计算密集型程序的性能. 最终实验结果表明，该优化算法能够平均取得6.60倍的加速比.
Abstract:This paper presents a vectorization algorithm for multi-cluster and VLIW(very long instruction word) DSP and this algorithm can significantly improve the performance of some compute-intensive programs which are widely used in DSP field. Via pre-handling the chain of the instruction and synthesizing the special instruction if needed, at last the algorithm synthesizing the vectorized instruction which the DSP provided. The experimental result shows this vectorization algorithm achieves 6.60 times performance improvement on average.
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基金项目:“核高基”重大专项（2012ZX01034-00-001）
引用文本：
徐华叶,郑启龙,丁陈飞,徐东鹏.面向多簇超长指令字DSP的向量化优化算法.计算机系统应用,2013,22(12):140-143
XU Hua-Ye,ZHENG Qi-Long,DING Chen-Fei,XU Dong-Peng.Vectorization Algorithm for Multi-Cluster and VLIW DSP.COMPUTER SYSTEMS APPLICATIONS,2013,22(12):140-143
徐华叶,郑启龙,丁陈飞,徐东鹏.面向多簇超长指令字DSP的向量化优化算法.计算机系统应用,2013,22(12):140-143
XU Hua-Ye,ZHENG Qi-Long,DING Chen-Fei,XU Dong-Peng.Vectorization Algorithm for Multi-Cluster and VLIW DSP.COMPUTER SYSTEMS APPLICATIONS,2013,22(12):140-143
