Data parallel fault simulation

M. Amin, B. Vinnakota
{"title":"Data parallel fault simulation","authors":"M. Amin, B. Vinnakota","doi":"10.1109/ICCD.1995.528931","DOIUrl":null,"url":null,"abstract":"Fault simulation is a compute intensive problem. Data parallel simulation on multiple processors is one method to reduce fault simulation time. We discuss a novel technique to partition the fault set for data parallel fault simulation. When applied statically, the technique can scale well for up to eight processors. The fault set partitioning technique is simple, can itself be parallelized, and can be implemented with extreme ease. Therefore, the technique can be used on a low cost parallel resource, such as a network of workstations.","PeriodicalId":281907,"journal":{"name":"Proceedings of ICCD '95 International Conference on Computer Design. VLSI in Computers and Processors","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of ICCD '95 International Conference on Computer Design. VLSI in Computers and Processors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCD.1995.528931","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 31

Abstract

Fault simulation is a compute intensive problem. Data parallel simulation on multiple processors is one method to reduce fault simulation time. We discuss a novel technique to partition the fault set for data parallel fault simulation. When applied statically, the technique can scale well for up to eight processors. The fault set partitioning technique is simple, can itself be parallelized, and can be implemented with extreme ease. Therefore, the technique can be used on a low cost parallel resource, such as a network of workstations.
数据并行故障模拟
故障仿真是一个计算密集型问题。多处理器数据并行仿真是减少故障仿真时间的一种方法。讨论了一种数据并行故障模拟中故障集划分的新方法。当静态应用时,该技术可以很好地扩展到最多八个处理器。故障集分区技术很简单,本身可以并行化,并且可以非常容易地实现。因此,该技术可用于低成本的并行资源,如工作站网络。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信