基于融合置换的高效存储流数据快速傅里叶变换

F. Serre, Markus Püschel
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引用次数: 2

摘要

我们提出了一种新颖的FFT数据路径,与最先进的基于ram的实现相比,它将内存需求降低了两倍。其新颖之处在于融合数据路径以实现所需的完美洗牌和位反转的技术,并且适用于具有不同程度重用和输入端口数量的FFT实现的整个设计空间。我们实现了一个工具来为给定的输入大小生成这个FFT设计空间,并对先前的工作进行基准测试。结果表明,用于排列的RAM组和/或逻辑复杂性减少了一半。融合排列的技术更普遍地适用于FFT以外的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Memory-Efficient Fast Fourier Transform on Streaming Data by Fusing Permutations
We propose a novel FFT datapath that reduces the memory requirement compared to state-of-the-art RAM-based implementations by up to a factor of two. The novelty is in a technique to fuse the datapaths for the required perfect shuffle and bit reversal and is applicable to an entire design space of FFT implementations with varying degrees of reuse and number of input ports. We implemented a tool to generate this FFT design space for a given input size and to benchmark against prior work. The results show a reduction of half the RAM banks and/or half the logic complexity used for the permutations. The technique for fusing permutations is more generally applicable beyond the FFT.
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