A. Poyda, M. Titov, A. Klimentov, J. Wells, S. Oral, K. De, D. Oleynik, S. Jha
{"title":"Modeling Impact of Execution Strategies on Resource Utilization","authors":"A. Poyda, M. Titov, A. Klimentov, J. Wells, S. Oral, K. De, D. Oleynik, S. Jha","doi":"10.1109/eScience.2018.00085","DOIUrl":null,"url":null,"abstract":"The analysis of the hundreds of petabytes of raw and derived HEP (High Energy Physics) data will necessitate exascale computing. In addition to unprecedented volume, these data are distributed over hundreds of computing centers. In response to these application requirement, as well as performance requirement by using parallel processing (i.e., parallelism), and as a consequence of technology trends, there has been an increase in the uptake of supercomputers by HEP projects.","PeriodicalId":6476,"journal":{"name":"2018 IEEE 14th International Conference on e-Science (e-Science)","volume":"126 1","pages":"340-340"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 14th International Conference on e-Science (e-Science)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/eScience.2018.00085","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The analysis of the hundreds of petabytes of raw and derived HEP (High Energy Physics) data will necessitate exascale computing. In addition to unprecedented volume, these data are distributed over hundreds of computing centers. In response to these application requirement, as well as performance requirement by using parallel processing (i.e., parallelism), and as a consequence of technology trends, there has been an increase in the uptake of supercomputers by HEP projects.
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