{"title":"软矢量处理器及其编译器的快速协同设计","authors":"Matthew Naylor, S. Moore","doi":"10.1109/FPL.2014.6927425","DOIUrl":null,"url":null,"abstract":"Despite a decade of activity in the development of soft vector processors for FPGAs, high-level language support remains thin. We attribute this problem to a design method in which the high-level vector programming interface is only really considered once the processor architecture has been perfected, by which point the designer may be committed to the time-consuming development of a complicated compiler. In this paper, we present the codesign of a soft vector processor and a lightweight compiler, which together lift the level of abstraction for the programmer while allowing a rapid compiler implementation phase.We demonstrate the effectiveness of our approach on a range of applications from digital signal processing, neuroscience, and machine learning.","PeriodicalId":172795,"journal":{"name":"2014 24th International Conference on Field Programmable Logic and Applications (FPL)","volume":"12 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Rapid codesign of a soft vector processor and its compiler\",\"authors\":\"Matthew Naylor, S. Moore\",\"doi\":\"10.1109/FPL.2014.6927425\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Despite a decade of activity in the development of soft vector processors for FPGAs, high-level language support remains thin. We attribute this problem to a design method in which the high-level vector programming interface is only really considered once the processor architecture has been perfected, by which point the designer may be committed to the time-consuming development of a complicated compiler. In this paper, we present the codesign of a soft vector processor and a lightweight compiler, which together lift the level of abstraction for the programmer while allowing a rapid compiler implementation phase.We demonstrate the effectiveness of our approach on a range of applications from digital signal processing, neuroscience, and machine learning.\",\"PeriodicalId\":172795,\"journal\":{\"name\":\"2014 24th International Conference on Field Programmable Logic and Applications (FPL)\",\"volume\":\"12 5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 24th International Conference on Field Programmable Logic and Applications (FPL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FPL.2014.6927425\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 24th International Conference on Field Programmable Logic and Applications (FPL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FPL.2014.6927425","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Rapid codesign of a soft vector processor and its compiler
Despite a decade of activity in the development of soft vector processors for FPGAs, high-level language support remains thin. We attribute this problem to a design method in which the high-level vector programming interface is only really considered once the processor architecture has been perfected, by which point the designer may be committed to the time-consuming development of a complicated compiler. In this paper, we present the codesign of a soft vector processor and a lightweight compiler, which together lift the level of abstraction for the programmer while allowing a rapid compiler implementation phase.We demonstrate the effectiveness of our approach on a range of applications from digital signal processing, neuroscience, and machine learning.