{"title":"部分可重构fpga快速设计探索的建模语言","authors":"Rohit Kumar, A. Gordon-Ross","doi":"10.1109/FCCM.2013.24","DOIUrl":null,"url":null,"abstract":"Leveraging partial reconfiguration (PR) can improve system flexibility, cost, and performance/power/area tradeoffs over non-PR functionally-equivalent systems, however, realizing these benefits is challenging, time-consuming, and PR must be considered early during application design to reduce design exploration time and improve system quality. To facilitate realizing these benefits, we present an application design framework and an abstract modeling language for PR (PRML). By applying extensive PRML modeling guidelines to a complex arithmetic core, we show PRML's potential for efficient PR capability analysis, enabling designers to determine Pareto optimal systems during application formulation based on designer-specified area and performance metrics.","PeriodicalId":269887,"journal":{"name":"2013 IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"PRML: A Modeling Language for Rapid Design Exploration of Partially Reconfigurable FPGAs\",\"authors\":\"Rohit Kumar, A. Gordon-Ross\",\"doi\":\"10.1109/FCCM.2013.24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Leveraging partial reconfiguration (PR) can improve system flexibility, cost, and performance/power/area tradeoffs over non-PR functionally-equivalent systems, however, realizing these benefits is challenging, time-consuming, and PR must be considered early during application design to reduce design exploration time and improve system quality. To facilitate realizing these benefits, we present an application design framework and an abstract modeling language for PR (PRML). By applying extensive PRML modeling guidelines to a complex arithmetic core, we show PRML's potential for efficient PR capability analysis, enabling designers to determine Pareto optimal systems during application formulation based on designer-specified area and performance metrics.\",\"PeriodicalId\":269887,\"journal\":{\"name\":\"2013 IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FCCM.2013.24\",\"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 21st Annual International Symposium on Field-Programmable Custom Computing Machines","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FCCM.2013.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PRML: A Modeling Language for Rapid Design Exploration of Partially Reconfigurable FPGAs
Leveraging partial reconfiguration (PR) can improve system flexibility, cost, and performance/power/area tradeoffs over non-PR functionally-equivalent systems, however, realizing these benefits is challenging, time-consuming, and PR must be considered early during application design to reduce design exploration time and improve system quality. To facilitate realizing these benefits, we present an application design framework and an abstract modeling language for PR (PRML). By applying extensive PRML modeling guidelines to a complex arithmetic core, we show PRML's potential for efficient PR capability analysis, enabling designers to determine Pareto optimal systems during application formulation based on designer-specified area and performance metrics.