{"title":"基于fpga实现的递归数据结构建模","authors":"Spyridon Ninos, A. Dollas","doi":"10.1109/FPL.2008.4629900","DOIUrl":null,"url":null,"abstract":"Recursion is a powerful technique used to solve problems with repeating patterns, and is a fundamental structure in software. To date there is no known general way to apply a recursive solution to reconfigurable hardware; it is considered difficult to implement, of low performance and resource-intensive. In this paper we extend previous results on hardware structures for recursion by V. Sklyarov, and we demonstrate that recursion can be efficiently implemented in a general way on FPGAs. We show that our general, non-optimized architecture presents approximately 3 times speedup against optimized software algorithm implementations. It also shows 75% speedup, at least 40% lower area utilization, and at the same time it is simpler, less designer time consuming and more general vs. previously published hardware implementations.","PeriodicalId":137963,"journal":{"name":"2008 International Conference on Field Programmable Logic and Applications","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"Modeling recursion data structures for FPGA-based implementation\",\"authors\":\"Spyridon Ninos, A. Dollas\",\"doi\":\"10.1109/FPL.2008.4629900\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recursion is a powerful technique used to solve problems with repeating patterns, and is a fundamental structure in software. To date there is no known general way to apply a recursive solution to reconfigurable hardware; it is considered difficult to implement, of low performance and resource-intensive. In this paper we extend previous results on hardware structures for recursion by V. Sklyarov, and we demonstrate that recursion can be efficiently implemented in a general way on FPGAs. We show that our general, non-optimized architecture presents approximately 3 times speedup against optimized software algorithm implementations. It also shows 75% speedup, at least 40% lower area utilization, and at the same time it is simpler, less designer time consuming and more general vs. previously published hardware implementations.\",\"PeriodicalId\":137963,\"journal\":{\"name\":\"2008 International Conference on Field Programmable Logic and Applications\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Conference on Field Programmable Logic and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FPL.2008.4629900\",\"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 Field Programmable Logic and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FPL.2008.4629900","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling recursion data structures for FPGA-based implementation
Recursion is a powerful technique used to solve problems with repeating patterns, and is a fundamental structure in software. To date there is no known general way to apply a recursive solution to reconfigurable hardware; it is considered difficult to implement, of low performance and resource-intensive. In this paper we extend previous results on hardware structures for recursion by V. Sklyarov, and we demonstrate that recursion can be efficiently implemented in a general way on FPGAs. We show that our general, non-optimized architecture presents approximately 3 times speedup against optimized software algorithm implementations. It also shows 75% speedup, at least 40% lower area utilization, and at the same time it is simpler, less designer time consuming and more general vs. previously published hardware implementations.