{"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}
引用次数: 19
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.