An Implementation of Cellular Automata on Systolic Array

A. Yarahmadi, S. Setayeshi
{"title":"An Implementation of Cellular Automata on Systolic Array","authors":"A. Yarahmadi, S. Setayeshi","doi":"10.1109/CICSyN.2010.54","DOIUrl":null,"url":null,"abstract":"Cellular Automata is one of the ways of performing computations which necessitates extremely the processing of data at high speeds. Implementing cellular automata on serial bases does not provide the required speed. So in this article the implementation of cellular automata on systolic base has been studied and the speed of performance in this method has been compared with that of the serial method. Conventional processors can’t process this enormous amount of data in a short period of time, so a new approach is required to improve computational complexity. Systolic array is a kind of parallel processing approaches which can increase the processing speed. Because processors of systolic set can work simultaneously and have its own local memory, they can improve the processing speed by limiting the number of external memory access in order to execute each of their instructions.","PeriodicalId":358023,"journal":{"name":"2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICSyN.2010.54","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Cellular Automata is one of the ways of performing computations which necessitates extremely the processing of data at high speeds. Implementing cellular automata on serial bases does not provide the required speed. So in this article the implementation of cellular automata on systolic base has been studied and the speed of performance in this method has been compared with that of the serial method. Conventional processors can’t process this enormous amount of data in a short period of time, so a new approach is required to improve computational complexity. Systolic array is a kind of parallel processing approaches which can increase the processing speed. Because processors of systolic set can work simultaneously and have its own local memory, they can improve the processing speed by limiting the number of external memory access in order to execute each of their instructions.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
元胞自动机在收缩阵列上的实现
元胞自动机是一种需要高速处理数据的计算方法。在串行基础上实现元胞自动机不能提供所需的速度。因此本文研究了细胞自动机在收缩基上的实现,并将该方法的性能与串行方法的性能进行了比较。传统的处理器无法在短时间内处理如此庞大的数据量,因此需要一种新的方法来提高计算复杂度。收缩阵列是一种可以提高处理速度的并行处理方法。由于收缩集的处理器可以同时工作,并且有自己的本地内存,因此它们可以通过限制外部内存访问的数量来提高处理速度,以便执行它们的每条指令。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Genetic Algorithm-Artificial Neural Network (GA-ANN) Hybrid Intelligence for Cancer Diagnosis EEG Analysis for Brainwave Balancing Index (BBI) Expert-Aware Approach: A New Approach to Improve Network Security Visualization Tool Micro SOA Model for Managing and Integrating Wireless Sensor Network into IP-Based Networks Context-Aware News Recommender in Mobile Hybrid P2P Network
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1