A Parallel Bitstream Generator for Stochastic Computing
A Parallel Bitstream Generator for Stochastic Computing
复制标题
用于随机计算的并行比特流生成器
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Ru Huang
中科院分区：
文献类型：
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作者：
Yawen Zhang;Runsheng Wang;Xinyue Zhang;Zherui Zhang;Jiahao Song;Zuodong Zhang;Y. Wang;Ru Huang
随机计算具有容错能力强、硬件成本低等特点，在神经网络和图像处理等领域具有很大的应用潜力。然而，将二进制数转换为比特流的比特流发生器占用了很大的面积和能耗，从而削弱了SC的优势。本文提出了一种新的并行生成比特流的技术，该技术只需要一个时钟进行转换，大大降低了硬件成本。综合结果表明，所提出的并行比特流发生器面积提高2.5倍，能耗提高712倍。
Stochastic computing (SC) presents high error tolerance and low hardware cost, and has great potential in applications such as neural networks and image processing. However, the bitstream generator, which converts a binary number to bitstreams, occupies a large area and energy consumption, thus weakening the superiority of SC. In this paper, we propose a novel technique for generating bitstreams in parallel, which needs only one clock for conversion and significantly reduces the hardware cost. Synthesis results demonstrate that the proposed parallel bitstream generator improves 2.5× area and 712× energy consumption.