article·2021-06-08

Memristive combinational logic circuits and stochastic computing implementation scheme

Tianshu Li, Shukai Duan, Jun Liu, Lidan Wang

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Abstract

Purpose Stochastic computing which is an alternative method of the binary calculation has key merits such as fault-tolerant capability and low hardware cost. However, the hardware response time of it is required to be very fast due to its bit-wise calculation mode. While the complementary metal oxide semiconductor (CMOS) components are difficult to meet the requirements aforementioned. For this, the stochastic computing implementation scheme based on the memristive system is proposed to reduce the response time. The purpose of this paper is to provide the implementation scheme based memristive system for the stochastic computing. Design/methodology/approach The hardware structure of material logic based on the memristive system is realized according to the advantages of the memristor. After that, the scheme of NOT logic, AND logic and multiplexer are designed, which are the basic units of stochastic computing. Furthermore, a stochastic computing system based on memristive combinational logic is structured and its validity is verified successfully by operating a case. Findings The numbers of the elements of the proposed stochastic computing system are less than the conventional stochastic computing based on CMOS circuits. Originality/value The paper proposed a novel implementation scheme for stochastic computing based on the memristive systems, which are different from the conventional stochastic computing based on CMOS circuits.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Neural dynamics and brain function · Neuroscience and Neural Engineering

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