Sylvain Huet, Vincent Boulos, V. Fristot, L. Salvo
{"title":"计算通信重叠的多GPU集群DFG实现","authors":"Sylvain Huet, Vincent Boulos, V. Fristot, L. Salvo","doi":"10.1109/DASIP.2011.6136859","DOIUrl":null,"url":null,"abstract":"Nowadays, it is possible to build a multi-GPU supercomputer, well suited for implementation of digital signal processing algorithms, for a few thousand dollars. However, to achieve the highest performance with this kind of architecture, the programmer has to focus on inter-processor communications, tasks synchronization … In this paper, we propose a design flow allowing an efficient implementation of a Digital Signal Processing (DSP) application specified as a Data Flow Graph (DFG) on a multi GPU computer cluster. We focus particularly on the effective implementation of communications by automating the computation-communication overlap, which can lead to significant speedups as shown in the presented benchmark. The approach is validated on a 3D granulometry application developed for research on materials.","PeriodicalId":199500,"journal":{"name":"Proceedings of the 2011 Conference on Design & Architectures for Signal & Image Processing (DASIP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"DFG implementation on multi GPU cluster with computation-communication overlap\",\"authors\":\"Sylvain Huet, Vincent Boulos, V. Fristot, L. Salvo\",\"doi\":\"10.1109/DASIP.2011.6136859\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, it is possible to build a multi-GPU supercomputer, well suited for implementation of digital signal processing algorithms, for a few thousand dollars. However, to achieve the highest performance with this kind of architecture, the programmer has to focus on inter-processor communications, tasks synchronization … In this paper, we propose a design flow allowing an efficient implementation of a Digital Signal Processing (DSP) application specified as a Data Flow Graph (DFG) on a multi GPU computer cluster. We focus particularly on the effective implementation of communications by automating the computation-communication overlap, which can lead to significant speedups as shown in the presented benchmark. The approach is validated on a 3D granulometry application developed for research on materials.\",\"PeriodicalId\":199500,\"journal\":{\"name\":\"Proceedings of the 2011 Conference on Design & Architectures for Signal & Image Processing (DASIP)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2011 Conference on Design & Architectures for Signal & Image Processing (DASIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DASIP.2011.6136859\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2011 Conference on Design & Architectures for Signal & Image Processing (DASIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DASIP.2011.6136859","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DFG implementation on multi GPU cluster with computation-communication overlap
Nowadays, it is possible to build a multi-GPU supercomputer, well suited for implementation of digital signal processing algorithms, for a few thousand dollars. However, to achieve the highest performance with this kind of architecture, the programmer has to focus on inter-processor communications, tasks synchronization … In this paper, we propose a design flow allowing an efficient implementation of a Digital Signal Processing (DSP) application specified as a Data Flow Graph (DFG) on a multi GPU computer cluster. We focus particularly on the effective implementation of communications by automating the computation-communication overlap, which can lead to significant speedups as shown in the presented benchmark. The approach is validated on a 3D granulometry application developed for research on materials.