{"title":"gpu加速散列和通配符混合流切换,用于处理大量流条目","authors":"N. Matsumoto, M. Hayashi, I. Morita","doi":"10.1109/HPSR.2013.6602315","DOIUrl":null,"url":null,"abstract":"GPU-accelerated high performance switching design using hybrid flow tables allocated in host and GPU memories is proposed based on LightFlow architecture. In this work, careful placement of hash and wildcard tables is proposed considering overhead of data copy during lookup process, in order to tackle massive flow entries using commodity hardware. Experimental results show that the proposal achieves 14.6 Mpps which is the fastest record of the software flow switch operated under a large scale reaching 4 million flow entries. With this proposal, it is also demonstrated that the average processing delay is about one forth compared with Open vSwitch.","PeriodicalId":220418,"journal":{"name":"2013 IEEE 14th International Conference on High Performance Switching and Routing (HPSR)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"GPU-accelerated hash and wildcard hybrid flow switching for tackling massive flow entries\",\"authors\":\"N. Matsumoto, M. Hayashi, I. Morita\",\"doi\":\"10.1109/HPSR.2013.6602315\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"GPU-accelerated high performance switching design using hybrid flow tables allocated in host and GPU memories is proposed based on LightFlow architecture. In this work, careful placement of hash and wildcard tables is proposed considering overhead of data copy during lookup process, in order to tackle massive flow entries using commodity hardware. Experimental results show that the proposal achieves 14.6 Mpps which is the fastest record of the software flow switch operated under a large scale reaching 4 million flow entries. With this proposal, it is also demonstrated that the average processing delay is about one forth compared with Open vSwitch.\",\"PeriodicalId\":220418,\"journal\":{\"name\":\"2013 IEEE 14th International Conference on High Performance Switching and Routing (HPSR)\",\"volume\":\"76 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 14th International Conference on High Performance Switching and Routing (HPSR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPSR.2013.6602315\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 14th International Conference on High Performance Switching and Routing (HPSR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPSR.2013.6602315","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GPU-accelerated hash and wildcard hybrid flow switching for tackling massive flow entries
GPU-accelerated high performance switching design using hybrid flow tables allocated in host and GPU memories is proposed based on LightFlow architecture. In this work, careful placement of hash and wildcard tables is proposed considering overhead of data copy during lookup process, in order to tackle massive flow entries using commodity hardware. Experimental results show that the proposal achieves 14.6 Mpps which is the fastest record of the software flow switch operated under a large scale reaching 4 million flow entries. With this proposal, it is also demonstrated that the average processing delay is about one forth compared with Open vSwitch.