{"title":"用c++设计捕获多fpga系统的位串行流水线合成","authors":"T. Isshiki, W. Dai","doi":"10.1109/FPGA.1996.564741","DOIUrl":null,"url":null,"abstract":"Developing applications for a large-scale configurable system composed of state-of-the-art FPGA technology is a grand challenge. FPGAs are inherently resource limited devices in terms of logic, routing, and IO. Without a careful circuit implementation strategy, one would waste a large portion of the potential capacity of the configurable hardware. Also, high-level design entry support is essential for such large-scale hardware. A C++ design tool has been implemented which maps the computational algorithms onto bit-serial pipeline networks which exhibit high performance and maximize the device utilization of each FPGA. With this tool, the designer is able to develop applications in a very short time, and also is able to try out different algorithm implementations easily to see the trade-offs in terms of performance and hardware size instantaneously. Based on this C++ design tool, a number of DSP applications such as 1D and 2D filters, adaptive filters, Inverse Discrete Cosine Transform, and digital neural networks were designed.","PeriodicalId":244873,"journal":{"name":"1996 Proceedings IEEE Symposium on FPGAs for Custom Computing Machines","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Bit-serial pipeline synthesis for multi-FPGA systems with C++ design capture\",\"authors\":\"T. Isshiki, W. Dai\",\"doi\":\"10.1109/FPGA.1996.564741\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Developing applications for a large-scale configurable system composed of state-of-the-art FPGA technology is a grand challenge. FPGAs are inherently resource limited devices in terms of logic, routing, and IO. Without a careful circuit implementation strategy, one would waste a large portion of the potential capacity of the configurable hardware. Also, high-level design entry support is essential for such large-scale hardware. A C++ design tool has been implemented which maps the computational algorithms onto bit-serial pipeline networks which exhibit high performance and maximize the device utilization of each FPGA. With this tool, the designer is able to develop applications in a very short time, and also is able to try out different algorithm implementations easily to see the trade-offs in terms of performance and hardware size instantaneously. Based on this C++ design tool, a number of DSP applications such as 1D and 2D filters, adaptive filters, Inverse Discrete Cosine Transform, and digital neural networks were designed.\",\"PeriodicalId\":244873,\"journal\":{\"name\":\"1996 Proceedings IEEE Symposium on FPGAs for Custom Computing Machines\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1996 Proceedings IEEE Symposium on FPGAs for Custom Computing Machines\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FPGA.1996.564741\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1996 Proceedings IEEE Symposium on FPGAs for Custom Computing Machines","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FPGA.1996.564741","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bit-serial pipeline synthesis for multi-FPGA systems with C++ design capture
Developing applications for a large-scale configurable system composed of state-of-the-art FPGA technology is a grand challenge. FPGAs are inherently resource limited devices in terms of logic, routing, and IO. Without a careful circuit implementation strategy, one would waste a large portion of the potential capacity of the configurable hardware. Also, high-level design entry support is essential for such large-scale hardware. A C++ design tool has been implemented which maps the computational algorithms onto bit-serial pipeline networks which exhibit high performance and maximize the device utilization of each FPGA. With this tool, the designer is able to develop applications in a very short time, and also is able to try out different algorithm implementations easily to see the trade-offs in terms of performance and hardware size instantaneously. Based on this C++ design tool, a number of DSP applications such as 1D and 2D filters, adaptive filters, Inverse Discrete Cosine Transform, and digital neural networks were designed.