{"title":"noout:混合分组交换和点对点网络的NoC拓扑生成","authors":"J. Chan, S. Parameswaran","doi":"10.1109/ASPDAC.2008.4483953","DOIUrl":null,"url":null,"abstract":"Networks-on-chip (NoC) have been widely proposed as the future communication paradigm for use in next-generation system-on-chip. In this paper, we present NoCOUT, a methodology for generating an energy optimized application specific NoC topology which supports both point-to-point and packet-switched networks. The algorithm uses a prohibitive greedy iterative improvement strategy to explore the design space efficiently. A system-level floorplanner is used to evaluate the iterative design improvements and provide feedback on the effects of the topology on wire length. The algorithm is integrated within a NoC synthesis framework with characterized NoC power and area models to allow accurate exploration for a NoC router library. We apply the topology generation algorithm to several test cases including real-world and synthetic communication graphs with both regular and irregular traffic patterns, and varying core sizes. Since the method is iterative, it is possible to start with a known design to search for improvements. Experimental results show that many different applications benefit from a mix of \";on chip networks\"; and \";point-to-point networks\";. With such a hybrid network, we achieve approximately 25% lower energy consumption (with a maximum of 37%) than a state of the art min-cut partition based topology generator for a variety of benchmarks. In addition, the average hop count is reduced by 0.75 hops, which would significantly reduce the network latency.","PeriodicalId":277556,"journal":{"name":"2008 Asia and South Pacific Design Automation Conference","volume":"24 12","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"52","resultStr":"{\"title\":\"NoCOUT : NoC topology generation with mixed packet-switched and point-to-point networks\",\"authors\":\"J. Chan, S. Parameswaran\",\"doi\":\"10.1109/ASPDAC.2008.4483953\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Networks-on-chip (NoC) have been widely proposed as the future communication paradigm for use in next-generation system-on-chip. In this paper, we present NoCOUT, a methodology for generating an energy optimized application specific NoC topology which supports both point-to-point and packet-switched networks. The algorithm uses a prohibitive greedy iterative improvement strategy to explore the design space efficiently. A system-level floorplanner is used to evaluate the iterative design improvements and provide feedback on the effects of the topology on wire length. The algorithm is integrated within a NoC synthesis framework with characterized NoC power and area models to allow accurate exploration for a NoC router library. We apply the topology generation algorithm to several test cases including real-world and synthetic communication graphs with both regular and irregular traffic patterns, and varying core sizes. Since the method is iterative, it is possible to start with a known design to search for improvements. Experimental results show that many different applications benefit from a mix of \\\";on chip networks\\\"; and \\\";point-to-point networks\\\";. With such a hybrid network, we achieve approximately 25% lower energy consumption (with a maximum of 37%) than a state of the art min-cut partition based topology generator for a variety of benchmarks. In addition, the average hop count is reduced by 0.75 hops, which would significantly reduce the network latency.\",\"PeriodicalId\":277556,\"journal\":{\"name\":\"2008 Asia and South Pacific Design Automation Conference\",\"volume\":\"24 12\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-01-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"52\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Asia and South Pacific Design Automation Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASPDAC.2008.4483953\",\"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 Asia and South Pacific Design Automation Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASPDAC.2008.4483953","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
NoCOUT : NoC topology generation with mixed packet-switched and point-to-point networks
Networks-on-chip (NoC) have been widely proposed as the future communication paradigm for use in next-generation system-on-chip. In this paper, we present NoCOUT, a methodology for generating an energy optimized application specific NoC topology which supports both point-to-point and packet-switched networks. The algorithm uses a prohibitive greedy iterative improvement strategy to explore the design space efficiently. A system-level floorplanner is used to evaluate the iterative design improvements and provide feedback on the effects of the topology on wire length. The algorithm is integrated within a NoC synthesis framework with characterized NoC power and area models to allow accurate exploration for a NoC router library. We apply the topology generation algorithm to several test cases including real-world and synthetic communication graphs with both regular and irregular traffic patterns, and varying core sizes. Since the method is iterative, it is possible to start with a known design to search for improvements. Experimental results show that many different applications benefit from a mix of ";on chip networks"; and ";point-to-point networks";. With such a hybrid network, we achieve approximately 25% lower energy consumption (with a maximum of 37%) than a state of the art min-cut partition based topology generator for a variety of benchmarks. In addition, the average hop count is reduced by 0.75 hops, which would significantly reduce the network latency.