Intra-vector SIMD instructions for core specialization

C. Meenderinck, B. Juurlink
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引用次数: 3

Abstract

Current research is mainly focussing on exploiting TLP to increase performance. Another avenue, however, for achieving performance scalability is specialization. In this paper we propose application specific intra-vector instructions for two dimensional signal processing kernels. In such kernels usually significant data rearrangement overhead is required in order to use the SIMD capabilities. When using the intra-vector instructions the overhead can be avoided. We have implemented intra-vector instructions in the Cell SPU core and measured speedups of up to 2.06, with an average of 1.45.
内部矢量SIMD指令的核心专业化
目前的研究主要集中在利用张力腿来提高性能。然而,实现性能可伸缩性的另一个途径是专门化。在本文中,我们提出了用于二维信号处理内核的特定应用的向量内指令。在这样的内核中,为了使用SIMD功能,通常需要大量的数据重排开销。当使用intra-vector指令时,可以避免这种开销。我们已经在Cell SPU内核中实现了向量内指令,并测量了高达2.06的速度,平均速度为1.45。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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