P. Bridges, Matthew G. F. Dosanjh, Ryan E. Grant, A. Skjellum, Shane Farmer, R. Brightwell
{"title":"为百亿亿级做准备:使用细粒度队列为多核系统建模MPI","authors":"P. Bridges, Matthew G. F. Dosanjh, Ryan E. Grant, A. Skjellum, Shane Farmer, R. Brightwell","doi":"10.1145/2831129.2831134","DOIUrl":null,"url":null,"abstract":"This paper presents a fine-grain queueing model of MPI point-to-point messaging performance for use in the design and analysis of current and future large-scale computing systems. In particular, the model seeks to capture key performance behavior of MPI communication on many-core systems. We demonstrate that this model encompasses key MPI performance characteristics, such as short/long protocol and offload/onload protocol tradeoffs, and demonstrate its use in predicting the potential impact of architectural and software changes for many-core systems on communication performance. In addition, we also discuss the limitations of this model and potential directions for enhancing its fidelity.","PeriodicalId":417011,"journal":{"name":"Workshop on Exascale MPI","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Preparing for exascale: modeling MPI for many-core systems using fine-grain queues\",\"authors\":\"P. Bridges, Matthew G. F. Dosanjh, Ryan E. Grant, A. Skjellum, Shane Farmer, R. Brightwell\",\"doi\":\"10.1145/2831129.2831134\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a fine-grain queueing model of MPI point-to-point messaging performance for use in the design and analysis of current and future large-scale computing systems. In particular, the model seeks to capture key performance behavior of MPI communication on many-core systems. We demonstrate that this model encompasses key MPI performance characteristics, such as short/long protocol and offload/onload protocol tradeoffs, and demonstrate its use in predicting the potential impact of architectural and software changes for many-core systems on communication performance. In addition, we also discuss the limitations of this model and potential directions for enhancing its fidelity.\",\"PeriodicalId\":417011,\"journal\":{\"name\":\"Workshop on Exascale MPI\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on Exascale MPI\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2831129.2831134\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on Exascale MPI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2831129.2831134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Preparing for exascale: modeling MPI for many-core systems using fine-grain queues
This paper presents a fine-grain queueing model of MPI point-to-point messaging performance for use in the design and analysis of current and future large-scale computing systems. In particular, the model seeks to capture key performance behavior of MPI communication on many-core systems. We demonstrate that this model encompasses key MPI performance characteristics, such as short/long protocol and offload/onload protocol tradeoffs, and demonstrate its use in predicting the potential impact of architectural and software changes for many-core systems on communication performance. In addition, we also discuss the limitations of this model and potential directions for enhancing its fidelity.