M. Krishnan, J. Nieplocha, M. Blocksome, Brian E. Smith
{"title":"IBM Blue Gene/P超级计算机上远程存储器访问通信的评估","authors":"M. Krishnan, J. Nieplocha, M. Blocksome, Brian E. Smith","doi":"10.1109/ICPP-W.2008.34","DOIUrl":null,"url":null,"abstract":"This paper evaluates the performance of remote memory access (RMA) communication and its capabilities on the blue gene/P supercomputer. This study includes the high performance implementation and performance of global arrays (GA) and its runtime system, aggregate remote memory copy interface (ARMCI). Our implementation of GA/ARMCI on blue gene/P is on top of the IBM deep computing messaging framework (DCMF), a communication runtime designed for the Blue Gene/P machine to easily support several programming paradigms such as message passing interface (MPI) and remote memory access (e.g. GA/ARMCI). The performance of DCMF, ARMCI, and GA are studied and compared to MPI performance.","PeriodicalId":231042,"journal":{"name":"2008 International Conference on Parallel Processing - Workshops","volume":"337 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Evaluation of Remote Memory Access Communication on the IBM Blue Gene/P Supercomputer\",\"authors\":\"M. Krishnan, J. Nieplocha, M. Blocksome, Brian E. Smith\",\"doi\":\"10.1109/ICPP-W.2008.34\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper evaluates the performance of remote memory access (RMA) communication and its capabilities on the blue gene/P supercomputer. This study includes the high performance implementation and performance of global arrays (GA) and its runtime system, aggregate remote memory copy interface (ARMCI). Our implementation of GA/ARMCI on blue gene/P is on top of the IBM deep computing messaging framework (DCMF), a communication runtime designed for the Blue Gene/P machine to easily support several programming paradigms such as message passing interface (MPI) and remote memory access (e.g. GA/ARMCI). The performance of DCMF, ARMCI, and GA are studied and compared to MPI performance.\",\"PeriodicalId\":231042,\"journal\":{\"name\":\"2008 International Conference on Parallel Processing - Workshops\",\"volume\":\"337 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-09-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Conference on Parallel Processing - Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPP-W.2008.34\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Conference on Parallel Processing - Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPP-W.2008.34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of Remote Memory Access Communication on the IBM Blue Gene/P Supercomputer
This paper evaluates the performance of remote memory access (RMA) communication and its capabilities on the blue gene/P supercomputer. This study includes the high performance implementation and performance of global arrays (GA) and its runtime system, aggregate remote memory copy interface (ARMCI). Our implementation of GA/ARMCI on blue gene/P is on top of the IBM deep computing messaging framework (DCMF), a communication runtime designed for the Blue Gene/P machine to easily support several programming paradigms such as message passing interface (MPI) and remote memory access (e.g. GA/ARMCI). The performance of DCMF, ARMCI, and GA are studied and compared to MPI performance.