{"title":"蓝色基因/Q上的路由感知独立MPI I/O","authors":"Preeti Malakar, V. Vishwanath","doi":"10.1145/2831244.2831251","DOIUrl":null,"url":null,"abstract":"Scalable high-performance I/O is crucial for application performance on large-scale systems. With the growing complexity of the system interconnects, it has become important to consider the impact of network contention on I/O performance because the I/O messages traverse several hops in the interconnect before reaching the I/O nodes or the file system. In this work, we present a route-aware and load-aware algorithm to modify existing bridge node assignment in the Blue Gene/Q (BG/Q) supercomputer. We reduce the network contention and reduce the write time by an average of 60% over the default independent I/O and by 20% over collective I/O on up to 8192 nodes on the Mira BG/Q system. Our algorithm routes 1.4x fewer messages through the bridge nodes which connect to the I/O nodes on the BG/Q.","PeriodicalId":166804,"journal":{"name":"International Symposium on Design and Implementation of Symbolic Computation Systems","volume":"141 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Route-aware independent MPI I/O on the blue gene/Q\",\"authors\":\"Preeti Malakar, V. Vishwanath\",\"doi\":\"10.1145/2831244.2831251\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Scalable high-performance I/O is crucial for application performance on large-scale systems. With the growing complexity of the system interconnects, it has become important to consider the impact of network contention on I/O performance because the I/O messages traverse several hops in the interconnect before reaching the I/O nodes or the file system. In this work, we present a route-aware and load-aware algorithm to modify existing bridge node assignment in the Blue Gene/Q (BG/Q) supercomputer. We reduce the network contention and reduce the write time by an average of 60% over the default independent I/O and by 20% over collective I/O on up to 8192 nodes on the Mira BG/Q system. Our algorithm routes 1.4x fewer messages through the bridge nodes which connect to the I/O nodes on the BG/Q.\",\"PeriodicalId\":166804,\"journal\":{\"name\":\"International Symposium on Design and Implementation of Symbolic Computation Systems\",\"volume\":\"141 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Symposium on Design and Implementation of Symbolic Computation Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2831244.2831251\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Design and Implementation of Symbolic Computation Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2831244.2831251","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Route-aware independent MPI I/O on the blue gene/Q
Scalable high-performance I/O is crucial for application performance on large-scale systems. With the growing complexity of the system interconnects, it has become important to consider the impact of network contention on I/O performance because the I/O messages traverse several hops in the interconnect before reaching the I/O nodes or the file system. In this work, we present a route-aware and load-aware algorithm to modify existing bridge node assignment in the Blue Gene/Q (BG/Q) supercomputer. We reduce the network contention and reduce the write time by an average of 60% over the default independent I/O and by 20% over collective I/O on up to 8192 nodes on the Mira BG/Q system. Our algorithm routes 1.4x fewer messages through the bridge nodes which connect to the I/O nodes on the BG/Q.