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Stochastic Number Generation with Internal Signals of Peripheral Logic Circuits

机译:外围逻辑电路内部信号的随机数生成

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摘要

Stochastic computing (SC), which is an approximate computation with probabilities, has attracted attention because it has distinct advantages in hardware cost and fault tolerance. In SC, numbers to be calculated are represented by the probabilities of one occurring in binary sequences and the numbers are transformed from binary (or deterministic) numbers by stochastic number generators (SNGs). In this paper, we propose a new SC scheme in which SNGs of an SC circuit exploit the internal signals of its peripheral logic circuits for generating random numbers. Furthermore, we propose an algorithm for appropriately selecting signal lines so as to reduce both of conversion errors and correlation-induced errors.
机译:随机计算(SC)是具有概率的近似计算,引起了关注,因为它具有硬件成本和容错具有不同的优势。 在SC中,要计算的数量由二进制序列中发生的概率表示,并且这些数量由随机数字生成器(SNG)从二进制(或确定性)数转换。 在本文中,我们提出了一种新的SC方案,其中SC电路的SNGS用于产生随机数的外围逻辑电路的内部信号。 Furthermore, we propose an algorithm for appropriately selecting signal lines so as to reduce both of conversion errors and correlation-induced errors.

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