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Multi-core DSP-based Vector Set Bits Counters/Comparators

机译:基于多核DSP的矢量集位计数器/比较器

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The paper shows that fast counting non-zero components (Hamming weights) and comparing the results (Hamming distances) in large sets of data items is important for numerous practical applications and this problem has been broadly investigated by software and hardware designers. It is frequently referenced as population or vector set bits count (or simply popcount). This paper is dedicated to multi-core FPGA-based accelerators that compute Hamming weights/distances and compare the results with fixed thresholds and variable bounds. It is shown that widely available in contemporary FPGAs digital signal processing slices may be used efficiently and they provide the fastest and the less resource consuming solutions. A thorough analysis and comparison with the best known alternatives both in hardware and in software is presented and supported by numerous experiments in the recent Nexys-4, ZedBoard and ZyBo prototyping systems. Complete hardware description language (VHDL) specifications for core components are given ready to be synthesized, implemented, tested and evaluated. Experiments with the proposed designs clearly demonstrate significant speed-up comparing to known hardware/software alternatives.
机译:本文表明,快速计数非零分量(汉明权重)和比较大型数据项中的结果(汉明距离)对于许多实际应用而言都是重要的,软件和硬件设计人员已对此问题进行了广泛研究。它经常被称为填充或向量集位数(或简称为popcount)。本文致力于基于多核FPGA的加速器,这些加速器计算汉明权重/距离并将结果与​​固定阈值和可变范围进行比较。结果表明,在当代FPGA中广泛使用的数字信号处理片可以得到有效利用,并且它们提供了最快和更少资源消耗的解决方案。在最新的Nexys-4,ZedBoard和ZyBo原型系统中,通过大量实验对硬件和软件中的最佳替代方案进行了全面的分析和比较,并提供了支持。给出了核心组件的完整硬件描述语言(VHDL)规范,可以进行综合,实施,测试和评估。与已知的硬件/软件替代方案相比,采用建议的设计进行的实验清楚地表明了显着的提速。

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