Title | A Brain-Inspired Hardware Architecture for Evolutionary Algorithms Based on Memristive Arrays |
Author | |
Corresponding Author | Wang, Zilu |
Publication Years | 2023-09-01
|
DOI | |
Source Title | |
ISSN | 1084-4309
|
EISSN | 1557-7309
|
Volume | 28Issue: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 Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/582972 |
Department | Southern University of Science and Technology |
Affiliation | Southern Univ Sci & Technol, 1088 Xueyuan Ave, Shenzhen 518055, Peoples R China |
First Author Affilication | Southern University of Science and Technology |
Corresponding Author Affilication | Southern University of Science and Technology |
First Author's First Affilication | Southern 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).
|
Files in This Item: | There are no files associated with this item. |
|
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment