{"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.