{"title":"针对弹性MPI应用的应用级解决方案的见解","authors":"P. González, Nuria Losada, María J. Martín","doi":"10.1109/HPCS.2018.00101","DOIUrl":null,"url":null,"abstract":"Current petascale systems, formed by hundreds of thousands of cores, are highly dynamic, which causes that hardware failure rates are relatively high. Failure data collected from two large high-performance computing sites have been analysed in [1], showing failure rates from 20 to more than 1,000 failures per year, depending mostly on system size. This can be translated in a failure every 8.7 hours. Future exascale systems, formed by several millions of cores, will be hit by error/faults even more frequently due to their scale and complexity [2]. Thus, long-running applications in these systems will need to use fault tolerance techniques to ensure the successful execution completion.","PeriodicalId":308138,"journal":{"name":"2018 International Conference on High Performance Computing & Simulation (HPCS)","volume":"17 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Insights into Application-level Solutions towards Resilient MPI Applications\",\"authors\":\"P. González, Nuria Losada, María J. Martín\",\"doi\":\"10.1109/HPCS.2018.00101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Current petascale systems, formed by hundreds of thousands of cores, are highly dynamic, which causes that hardware failure rates are relatively high. Failure data collected from two large high-performance computing sites have been analysed in [1], showing failure rates from 20 to more than 1,000 failures per year, depending mostly on system size. This can be translated in a failure every 8.7 hours. Future exascale systems, formed by several millions of cores, will be hit by error/faults even more frequently due to their scale and complexity [2]. Thus, long-running applications in these systems will need to use fault tolerance techniques to ensure the successful execution completion.\",\"PeriodicalId\":308138,\"journal\":{\"name\":\"2018 International Conference on High Performance Computing & Simulation (HPCS)\",\"volume\":\"17 2\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on High Performance Computing & Simulation (HPCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPCS.2018.00101\",\"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 International Conference on High Performance Computing & Simulation (HPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCS.2018.00101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Insights into Application-level Solutions towards Resilient MPI Applications
Current petascale systems, formed by hundreds of thousands of cores, are highly dynamic, which causes that hardware failure rates are relatively high. Failure data collected from two large high-performance computing sites have been analysed in [1], showing failure rates from 20 to more than 1,000 failures per year, depending mostly on system size. This can be translated in a failure every 8.7 hours. Future exascale systems, formed by several millions of cores, will be hit by error/faults even more frequently due to their scale and complexity [2]. Thus, long-running applications in these systems will need to use fault tolerance techniques to ensure the successful execution completion.