{"title":"面向性能的时复用FPGA分区","authors":"P. Andersson, K. Kuchcinski","doi":"10.1109/EURMIC.2000.874616","DOIUrl":null,"url":null,"abstract":"Time-multiplexing is a promising method to reduce the cost of FPGA based systems. It means execution of logic in consecutive steps with reconfiguration taking place between these steps. The use of time-multiplexing makes it possible to reduce the size of FPGAs but requires a new step in the design flow. The circuit has to be divided into sequential steps, partitions. In this paper we present an algorithm which partitions sequential circuits for time-multiplexing. The algorithm is based on list scheduling. Our experiments show that the algorithm is fast. It is able to partition a design with 4000 nodes in less than 4 seconds. The generated partitions have small size overhead, up to 3.2%, while no time overhead is allowed, besides the necessary reconfiguration time.","PeriodicalId":138250,"journal":{"name":"Proceedings of the 26th Euromicro Conference. EUROMICRO 2000. Informatics: Inventing the Future","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Performance oriented partitioning for time-multiplexed FPGA's\",\"authors\":\"P. Andersson, K. Kuchcinski\",\"doi\":\"10.1109/EURMIC.2000.874616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Time-multiplexing is a promising method to reduce the cost of FPGA based systems. It means execution of logic in consecutive steps with reconfiguration taking place between these steps. The use of time-multiplexing makes it possible to reduce the size of FPGAs but requires a new step in the design flow. The circuit has to be divided into sequential steps, partitions. In this paper we present an algorithm which partitions sequential circuits for time-multiplexing. The algorithm is based on list scheduling. Our experiments show that the algorithm is fast. It is able to partition a design with 4000 nodes in less than 4 seconds. The generated partitions have small size overhead, up to 3.2%, while no time overhead is allowed, besides the necessary reconfiguration time.\",\"PeriodicalId\":138250,\"journal\":{\"name\":\"Proceedings of the 26th Euromicro Conference. EUROMICRO 2000. Informatics: Inventing the Future\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 26th Euromicro Conference. EUROMICRO 2000. Informatics: Inventing the Future\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EURMIC.2000.874616\",\"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 26th Euromicro Conference. EUROMICRO 2000. Informatics: Inventing the Future","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EURMIC.2000.874616","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance oriented partitioning for time-multiplexed FPGA's
Time-multiplexing is a promising method to reduce the cost of FPGA based systems. It means execution of logic in consecutive steps with reconfiguration taking place between these steps. The use of time-multiplexing makes it possible to reduce the size of FPGAs but requires a new step in the design flow. The circuit has to be divided into sequential steps, partitions. In this paper we present an algorithm which partitions sequential circuits for time-multiplexing. The algorithm is based on list scheduling. Our experiments show that the algorithm is fast. It is able to partition a design with 4000 nodes in less than 4 seconds. The generated partitions have small size overhead, up to 3.2%, while no time overhead is allowed, besides the necessary reconfiguration time.