{"title":"Improving user experience of submitting jobs to HPC resources","authors":"G. Stewart, W. Vanderbauwhede","doi":"10.1109/HPCSim.2012.6266985","DOIUrl":null,"url":null,"abstract":"The growth of e-science and grid computing has presented new opportunities to researchers for whom access to large computational and data-storage resources is essential, offering a choice of resources on which to conduct such work. The selection of an appropriate resource, or resources, can have a significant impact on the rate of progress of such work, but only if all relevant properties of a job's structure are taken into consideration; this is not the case with currently-used resource brokering systems. This paper proposes a method by which resource-brokering can be improved for real-world engineering jobs comprising many constituent tasks, and demonstrates through means of simulation the improvement that such a method offers, which in some cases reduces average execution times of individual tasks by over thirty percent.","PeriodicalId":428764,"journal":{"name":"2012 International Conference on High Performance Computing & Simulation (HPCS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on High Performance Computing & Simulation (HPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCSim.2012.6266985","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The growth of e-science and grid computing has presented new opportunities to researchers for whom access to large computational and data-storage resources is essential, offering a choice of resources on which to conduct such work. The selection of an appropriate resource, or resources, can have a significant impact on the rate of progress of such work, but only if all relevant properties of a job's structure are taken into consideration; this is not the case with currently-used resource brokering systems. This paper proposes a method by which resource-brokering can be improved for real-world engineering jobs comprising many constituent tasks, and demonstrates through means of simulation the improvement that such a method offers, which in some cases reduces average execution times of individual tasks by over thirty percent.