{"title":"基于服务器端性能计数器的并行I/O表征","authors":"S. E. Sayed, M. Bolten, D. Pleiter, W. Frings","doi":"10.1109/PDSW-DISCS.2016.006","DOIUrl":null,"url":null,"abstract":"Provisioning of high I/O capabilities for high-end HPC architectures is generally considered a challenge. A good understanding of the characteristics of the utilisation of modern I/O systems can help address the increasing performance gap between I/O and computation. In this paper we present results from an analysis of server-side performance counters that had been collected for multiple years on a parallel file system attached to a peta-scale Blue Gene/P system. We developed a set of general performance characterisation metrics, which we applied to this large dataset.","PeriodicalId":375550,"journal":{"name":"2016 1st Joint International Workshop on Parallel Data Storage and data Intensive Scalable Computing Systems (PDSW-DISCS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Parallel I/O Characterisation Based on Server-Side Performance Counters\",\"authors\":\"S. E. Sayed, M. Bolten, D. Pleiter, W. Frings\",\"doi\":\"10.1109/PDSW-DISCS.2016.006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Provisioning of high I/O capabilities for high-end HPC architectures is generally considered a challenge. A good understanding of the characteristics of the utilisation of modern I/O systems can help address the increasing performance gap between I/O and computation. In this paper we present results from an analysis of server-side performance counters that had been collected for multiple years on a parallel file system attached to a peta-scale Blue Gene/P system. We developed a set of general performance characterisation metrics, which we applied to this large dataset.\",\"PeriodicalId\":375550,\"journal\":{\"name\":\"2016 1st Joint International Workshop on Parallel Data Storage and data Intensive Scalable Computing Systems (PDSW-DISCS)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 1st Joint International Workshop on Parallel Data Storage and data Intensive Scalable Computing Systems (PDSW-DISCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PDSW-DISCS.2016.006\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 1st Joint International Workshop on Parallel Data Storage and data Intensive Scalable Computing Systems (PDSW-DISCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDSW-DISCS.2016.006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parallel I/O Characterisation Based on Server-Side Performance Counters
Provisioning of high I/O capabilities for high-end HPC architectures is generally considered a challenge. A good understanding of the characteristics of the utilisation of modern I/O systems can help address the increasing performance gap between I/O and computation. In this paper we present results from an analysis of server-side performance counters that had been collected for multiple years on a parallel file system attached to a peta-scale Blue Gene/P system. We developed a set of general performance characterisation metrics, which we applied to this large dataset.
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