多数据路径SIMD架构的IIR并行化

Yingying Liu, Dake Liu, Wei Wang
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引用次数: 1

摘要

由于数据依赖性,SIMD上的递归滤波器(IIR)并行编程比非递归算法更加困难。针对SIMD上IIR滤波器并行编码的数据依赖性问题,已经提出了几种转换方法。然而,这些方法固有的序言和尾声明显增加了控制结构的复杂性,并导致额外的硬件开销。为此,本文提出了一种基于多数据路径SIMD DSP架构的IIR滤波器并行编码转换新方法。通过该方法,可以在不引入epilogue和prologue的情况下消除数据依赖性,最小化prologue和epilogue的额外执行时间,并且消除了额外的控制引起的硅成本。因此,在任何普通SIMD上对IIR滤波器进行编码都可以并行进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IIR parallelization on multi-datapath SIMD architecture
The recursive filter (IIR) parallel programming on SIMD is more difficult than that of nonrecursive algorithms due to data dependency. Several transformation methods for parallel coding of IIR filter on SIMD have already been proposed to deal with data dependency. However, the inherent prologue and epilogue in these methods obviously increase the complexity of control structures and induce extra hardware overhead. Hence, this paper presents a new transformation method for IIR filter parallel coding on multi-datapath SIMD DSP architecture. By this method, data dependency can thus be removed without introducing epilogue and prologue, the extra execution time of prologue and epilogue can be minimized, and the extra control induced silicon cost is eliminated. Therefore, coding for IIR filter on any normal SIMD can be in parallel.
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