On the Role of Sequential Circuits in Stochastic Computing
On the Role of Sequential Circuits in Stochastic Computing
复制标题
论时序电路在随机计算中的作用
DOI：
10.1145/3060403.3060453
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
J. Hayes
中科院分区：
文献类型：
--
作者：
Pai;J. Hayes
由于需要在图像处理和机器学习等领域，对随机计算（SC）的兴趣一直在增长。虽然组合随机电路相对易于设计，但由于相关性而导致的可实现功能和不准确的局限性，要求进行顺序组件和设计方法。但是，尚未完全理解序列随机电路的基本理论。几乎所有现有的顺序SC电路都属于基于上/下式的基于上/下方的类（UCB）类。在本文中，我们识别并研究了新的SC电路类：基于Shift-Register（SRB）。我们专注于SRB电路的性质，并展示其在随机计算中的核心作用。这导致用于顺序设计优化的算法鼠标。通过利用顺序随机等价，小鼠可以降低SRB电路成本，而不会损害性能或准确性。
Interest in stochastic computing (SC) has been growing due to the need for low-cost circuitry in areas like image processing and machine learning. While combinational stochastic circuits are relatively easy to design, their limitations such as having few implementable functions and inaccuracies due to correlation, call for sequential components and design methods. The theory underlying sequential stochastic circuits is not fully understood, however. Almost all existing sequential SC circuits fall into the up/down-counter-based (UCB) class. In this paper, we identify and investigate a new SC circuit class: shift-register-based (SRB). We focus on the properties of SRB circuits and demonstrate their central role in stochastic computing. This leads to an algorithm MOUSE for sequential design optimization. By exploiting sequential stochastic equivalence, MOUSE can reduce SRB circuit cost without compromising performance or accuracy.