{"title":"HPC应用中影响数据错误传播的因素分析","authors":"G. Utrera, Marisa Gil, X. Martorell","doi":"10.1109/PDP2018.2018.00092","DOIUrl":null,"url":null,"abstract":"Algorithmic codes for scientific computing may exhibit diverse levels of tolerance to memory errors, depending on the program behavior when accessing data. There are factors that can be controlled in an HPC program and may influence the tolerance degree to memory errors. A characterization of the degree of vulnerability an application exhibits can help to improve its security as well as save time and resources. In this work, we study some main factors that may have an impact on the propagation of errors originated from memory accesses.","PeriodicalId":333367,"journal":{"name":"2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Analysis of the Impact Factors on Data Error Propagation in HPC Applications\",\"authors\":\"G. Utrera, Marisa Gil, X. Martorell\",\"doi\":\"10.1109/PDP2018.2018.00092\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Algorithmic codes for scientific computing may exhibit diverse levels of tolerance to memory errors, depending on the program behavior when accessing data. There are factors that can be controlled in an HPC program and may influence the tolerance degree to memory errors. A characterization of the degree of vulnerability an application exhibits can help to improve its security as well as save time and resources. In this work, we study some main factors that may have an impact on the propagation of errors originated from memory accesses.\",\"PeriodicalId\":333367,\"journal\":{\"name\":\"2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PDP2018.2018.00092\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDP2018.2018.00092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of the Impact Factors on Data Error Propagation in HPC Applications
Algorithmic codes for scientific computing may exhibit diverse levels of tolerance to memory errors, depending on the program behavior when accessing data. There are factors that can be controlled in an HPC program and may influence the tolerance degree to memory errors. A characterization of the degree of vulnerability an application exhibits can help to improve its security as well as save time and resources. In this work, we study some main factors that may have an impact on the propagation of errors originated from memory accesses.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
