中文版 | English
Title

A Brain-Inspired Hardware Architecture for Evolutionary Algorithms Based on Memristive Arrays

Author
Corresponding AuthorWang, Zilu
Publication Years
2023-09-01
DOI
Source Title
ISSN
1084-4309
EISSN
1557-7309
Volume28Issue:5
Abstract
Brain-inspired computing takes inspiration from the brain to create energy-efficient hardware systems for information processing, capable of performing highly sophisticated tasks. Systems built with emerging electronics, such as memristive devices, can achieve gains in speed and energy by mimicking the distributed topology of the brain. In this work, a brain-inspired hardware architecture for evolutionary algorithms is proposed based on memristive arrays, which can realize sparse and approximate computing as a result of the parallel analog computing characteristic of the memristive arrays. On this basis, an efficient evolvable brain-inspired hardware system is implemented. We experimentally show that the approach can offer at least a four orders of magnitude speed improvement. We also use experimentally grounded simulations to explore fault tolerance and different parameter settings in the implemented hardware system. The experimental results show that the evolvable hardware system, implemented based on the proposed hardware architecture, can continuously evolve toward a better system even if there are failures or parameter changes in the memristive arrays, demonstrating that the proposed hardware architecture has good adaptability and fault tolerance.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
First ; Corresponding
Funding Project
Young Scientists Fund of the National Natural Science Foundation of China[62206121] ; Postdoctoral Science Foundation of China[2021M701578] ; Guangdong Provincial Key Laboratory[2020B121201001] ; Program for Guangdong Introducing Innovative and Enterpreneurial Teams[2017ZT07X386] ; Shenzhen Science and Technology Program[KQTD2016112514355531]
WOS Research Area
Computer Science
WOS Subject
Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS Accession No
WOS:001074281700015
Publisher
Data Source
Web of Science
Citation statistics
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/582972
DepartmentSouthern University of Science and Technology
Affiliation
Southern Univ Sci & Technol, 1088 Xueyuan Ave, Shenzhen 518055, Peoples R China
First Author AffilicationSouthern University of Science and Technology
Corresponding Author AffilicationSouthern University of Science and Technology
First Author's First AffilicationSouthern University of Science and Technology
Recommended Citation
GB/T 7714
Wang, Zilu,Shi, Xinming,Yao, Xin. A Brain-Inspired Hardware Architecture for Evolutionary Algorithms Based on Memristive Arrays[J]. ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS,2023,28(5).
APA
Wang, Zilu,Shi, Xinming,&Yao, Xin.(2023).A Brain-Inspired Hardware Architecture for Evolutionary Algorithms Based on Memristive Arrays.ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS,28(5).
MLA
Wang, Zilu,et al."A Brain-Inspired Hardware Architecture for Evolutionary Algorithms Based on Memristive Arrays".ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS 28.5(2023).
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