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Floating-Point Butterfly Architecture Based on Binary Signed-Digit Representation

机译:基于二进制符号数字表示的浮点蝴蝶架构

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Fast Fourier transform (FFT) coprocessor, having a significant impact on the performance of communication systems, has been a hot topic of research for many years. The FFT function consists of consecutive multiply add operations over complex numbers, dubbed as butterfly units. Applying floating-point (FP) arithmetic to FFT architectures, specifically butterfly units, has become more popular recently. It offloads compute-intensive tasks from general-purpose processors by dismissing FP concerns (e.g., scaling and overflow/underflow). However, the major downside of FP butterfly is its slowness in comparison with its fixed-point counterpart. This reveals the incentive to develop a high-speed FP butterfly architecture to mitigate FP slowness. This brief proposes a fast FP butterfly unit using a devised FP fused-dot-product-add (FDPA) unit, to compute AB ± CD ± E, based on binary-signed-digit (BSD) representation. The FP three-operand BSD adder and the FP BSD constant multiplier are the constituents of the proposed FDPA unit. A carry-limited BSD adder is proposed and used in the three-operand adder and the parallel BSD multiplier so as to improve the speed of the FDPA unit. Moreover, modified Booth encoding is used to accelerate the BSD multiplier. The synthesis results show that the proposed FP butterfly architecture is much faster than previous counterparts but at the cost of more area.
机译:快速傅立叶变换(FFT)协处理器对通信系统的性能产生重大影响,多年来一直是研究的热点。 FFT功能包括复数连续运算,称为蝶形单位。近来,将浮点(FP)算法应用于FFT体系结构,特别是蝶形单元已变得越来越流行。通过消除FP顾虑(例如扩展和上溢/下溢),它可以减轻通用处理器的计算密集型任务的负担。但是,FP蝶阀的主要缺点是与定点蝶阀相比,它的速度较慢。这揭示了开发高速FP蝶形架构以减轻FP慢速的动机。这份简报提出了一种快速的FP蝶形单元,该单元使用一个已设计的FP融合点积加法(FDPA)单元,基于二进制符号(BSD)表示来计算AB±CD±E。 FP三操作数BSD加法器和FP BSD常数乘法器是建议的FDPA单元的组成部分。提出了进位受限的BSD加法器,并在三操作数加法器和并行BSD乘法器中使用,以提高FDPA单元的速度。此外,修改的Booth编码用于加速BSD乘数。综合结果表明,提出的FP蝶形结构比以前的FP蝶形结构要快得多,但是要占用更多的面积。

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