Computer generation of streaming sorting networks

M. Zuluaga, Peter Milder, Markus Püschel
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引用次数: 41

Abstract

Sorting networks offer great performance but become prohibitively expensive for large data sets. We present a domain-specific language and compiler to automatically generate hardware implementations of sorting networks with reduced area and optimized for latency or throughput. Our results show that the generator produces a wide range of Pareto-optimal solutions that both compete with and outperform prior sorting hardware.
计算机生成的流排序网络
排序网络提供了出色的性能,但对于大型数据集来说,它的成本过高。我们提出了一种特定于领域的语言和编译器,以自动生成排序网络的硬件实现,减少了区域并优化了延迟或吞吐量。我们的结果表明,生成器产生了广泛的帕累托最优解决方案,这些解决方案既可以与先前的排序硬件竞争,也可以优于它们。
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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