{"title":"使用可重构平台加速辐射计算","authors":"Henry Styles, W. Luk","doi":"10.1109/FPGA.2002.1106684","DOIUrl":null,"url":null,"abstract":"We describe a feasibility study into accelerating computer graphics radiosity calculations using reconfigurable hardware. A modular hardware/software codesign framework has been developed for experimenting with hardware acceleration of a time consuming step: formfactor determination. We describe a parameterised hardware design pattern, captured in the Handel-C language, which enables rapid exploration of the area/throughput design space for simple pipelines. Using this pattern we determine speedup and resource usage on a range of Xilinx Virtex FPGA devices, and examine future trends in performance. As a sample of these results we demonstrate a 7.6 times speed-up over a 1.4GHz Athlon PC using a Xilinx XCV2000E and, based on place and route reports, estimate 31 times speed-up using a Xilinx XC2V8000.","PeriodicalId":272235,"journal":{"name":"Proceedings. 10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Accelerating radiosity calculations using reconfigurable platforms\",\"authors\":\"Henry Styles, W. Luk\",\"doi\":\"10.1109/FPGA.2002.1106684\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe a feasibility study into accelerating computer graphics radiosity calculations using reconfigurable hardware. A modular hardware/software codesign framework has been developed for experimenting with hardware acceleration of a time consuming step: formfactor determination. We describe a parameterised hardware design pattern, captured in the Handel-C language, which enables rapid exploration of the area/throughput design space for simple pipelines. Using this pattern we determine speedup and resource usage on a range of Xilinx Virtex FPGA devices, and examine future trends in performance. As a sample of these results we demonstrate a 7.6 times speed-up over a 1.4GHz Athlon PC using a Xilinx XCV2000E and, based on place and route reports, estimate 31 times speed-up using a Xilinx XC2V8000.\",\"PeriodicalId\":272235,\"journal\":{\"name\":\"Proceedings. 10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. 10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FPGA.2002.1106684\",\"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. 10th Annual IEEE Symposium on Field-Programmable Custom Computing Machines","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FPGA.2002.1106684","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Accelerating radiosity calculations using reconfigurable platforms
We describe a feasibility study into accelerating computer graphics radiosity calculations using reconfigurable hardware. A modular hardware/software codesign framework has been developed for experimenting with hardware acceleration of a time consuming step: formfactor determination. We describe a parameterised hardware design pattern, captured in the Handel-C language, which enables rapid exploration of the area/throughput design space for simple pipelines. Using this pattern we determine speedup and resource usage on a range of Xilinx Virtex FPGA devices, and examine future trends in performance. As a sample of these results we demonstrate a 7.6 times speed-up over a 1.4GHz Athlon PC using a Xilinx XCV2000E and, based on place and route reports, estimate 31 times speed-up using a Xilinx XC2V8000.