Parallel Algorithms for FIR Computation Mapped to ESCA Architecture

Pan Chen, Kui Dai, Dan Wu, J. Rao, X. Zou
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引用次数: 4

Abstract

IN this paper we present a parallel algorithm for FIR (Finite Impulse Response) filter computation based on Engineering and Scientific Computation Accelerator (ESCA) System. ESCA is a heterogeneous multi-core architecture aiming to accelerate the compute-intensive parallel computing in high performance applications. By taking advantage of SIMD processing elements (PEs) and hierarchical on-chip networks with high-bandwidth and low-latency inside ESCA, we can get a good performance at parallel computation, and find a way to implement the FIR kernel. By translating the FIR computation into Matrix-Vector multiplication, we proposed an improved implementation of FIR algorithm, which achieved higher performance.
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映射到ESCA体系结构的FIR计算并行算法
本文提出了一种基于工程与科学计算加速器(ESCA)系统的FIR (Finite Impulse Response)滤波器并行计算算法。ESCA是一种异构多核架构,旨在加速高性能应用中计算密集型的并行计算。通过利用ESCA内部的SIMD处理元素(PEs)和具有高带宽和低延迟的片上分层网络,我们可以获得良好的并行计算性能,并找到一种实现FIR内核的方法。通过将FIR算法转化为矩阵-向量乘法,提出了一种改进的FIR算法,实现了更高的性能。
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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