Fast area estimation to support compiler optimizations in FPGA-based reconfigurable systems

D. Kulkarni, W. Najjar, R. Rinker, F. Kurdahi
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引用次数: 59

Abstract

Several projects have developed compiler tools that translate high-level languages down to hardware description languages for mapping onto FPGA-based reconfigurable computers. These compiler tools can apply extensive transformations that exploit the parallelism inherent in the computations. However, the transformations can have a major impact on the chip area (number of logic blocks) used on the FPGA. It is imperative therefore that the compiler user be provided with feedback indicating how much space is being used. In this paper we present a fast compile-time area estimation technique to guide the compiler optimizations. Experimental results show that our technique achieves an accuracy within 2.5% for small image-processing operators, and within 5.0% for larger benchmarks, as compared to the usual post-compilation synthesis tool estimations. The estimation time is in the order of milliseconds as compared to several minutes for a synthesis tool.
在基于fpga的可重构系统中支持编译器优化的快速区域估计
有几个项目开发了编译器工具,将高级语言转换为硬件描述语言,以便映射到基于fpga的可重构计算机上。这些编译器工具可以应用广泛的转换,利用计算中固有的并行性。然而,转换可能对FPGA上使用的芯片面积(逻辑块的数量)产生重大影响。因此,必须向编译器用户提供指示使用了多少空间的反馈。本文提出了一种快速的编译时面积估计技术来指导编译器的优化。实验结果表明,与通常的编译后合成工具估计相比,我们的技术在小型图像处理操作中实现了2.5%以内的精度,在大型基准测试中实现了5.0%以内的精度。与合成工具的几分钟相比,估计时间以毫秒为数量级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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