Tan Yiyu, Y. Inoguchi, Yukinori Sato, Y. Iwaya, Hiroshi Matsuoka, M. Otani, T. Tsuchiya
{"title":"基于fpga的声音渲染时序共享架构设计","authors":"Tan Yiyu, Y. Inoguchi, Yukinori Sato, Y. Iwaya, Hiroshi Matsuoka, M. Otani, T. Tsuchiya","doi":"10.1109/ITNG.2012.110","DOIUrl":null,"url":null,"abstract":"Sound rendering applications are data-intensive and memory-intensive as a sound space increases. To speed up computation and extend the simulated area, a sound rendering system based on the two-dimensional Digital Huygens Model (DHM) with timing sharing architecture is designed and implemented by a Field Programmable Gate Array (FPGA) chip XC5VLX330T. Compared with the DHM system with the traditional parallel architecture, the proposed system implemented by a FPGA chip extends about 20 times in simulated area, and speeds up 1.47 times against the software simulation carried out in a computer with an AMD Phenom 9500 Quad-core processor (2.2 GHz) and 4GB RAM. The system is relatively easy to cascade many FPGA chips to work in parallel in real applications.","PeriodicalId":117236,"journal":{"name":"2012 Ninth International Conference on Information Technology - New Generations","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Design of a FPGA-based Timing Sharing Architecture for Sound Rendering Applications\",\"authors\":\"Tan Yiyu, Y. Inoguchi, Yukinori Sato, Y. Iwaya, Hiroshi Matsuoka, M. Otani, T. Tsuchiya\",\"doi\":\"10.1109/ITNG.2012.110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sound rendering applications are data-intensive and memory-intensive as a sound space increases. To speed up computation and extend the simulated area, a sound rendering system based on the two-dimensional Digital Huygens Model (DHM) with timing sharing architecture is designed and implemented by a Field Programmable Gate Array (FPGA) chip XC5VLX330T. Compared with the DHM system with the traditional parallel architecture, the proposed system implemented by a FPGA chip extends about 20 times in simulated area, and speeds up 1.47 times against the software simulation carried out in a computer with an AMD Phenom 9500 Quad-core processor (2.2 GHz) and 4GB RAM. The system is relatively easy to cascade many FPGA chips to work in parallel in real applications.\",\"PeriodicalId\":117236,\"journal\":{\"name\":\"2012 Ninth International Conference on Information Technology - New Generations\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Ninth International Conference on Information Technology - New Generations\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITNG.2012.110\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Ninth International Conference on Information Technology - New Generations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITNG.2012.110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of a FPGA-based Timing Sharing Architecture for Sound Rendering Applications
Sound rendering applications are data-intensive and memory-intensive as a sound space increases. To speed up computation and extend the simulated area, a sound rendering system based on the two-dimensional Digital Huygens Model (DHM) with timing sharing architecture is designed and implemented by a Field Programmable Gate Array (FPGA) chip XC5VLX330T. Compared with the DHM system with the traditional parallel architecture, the proposed system implemented by a FPGA chip extends about 20 times in simulated area, and speeds up 1.47 times against the software simulation carried out in a computer with an AMD Phenom 9500 Quad-core processor (2.2 GHz) and 4GB RAM. The system is relatively easy to cascade many FPGA chips to work in parallel in real applications.