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Performance effects of pipeline architecture on an FPGA-based binary32 floating point multiplier

机译:流水线架构对基于FPGA的binary32浮点乘法器的性能影响

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High pipeline depth architecture with pipeline stage more than five is rarely adopted in existing multipliers for real world applications. In this paper, a field programmable gate array (FPGA) based binary32 floating point multiplier (FPM) is presented to support variety of pipeline depth and the effects of pipeline architecture have been investigated. Pipeline architecture is formulated based on radix-4 Booth recoding approach, an improved Wallace tree, and partial product accumulation. Upon detail and quantitative investigation on the proposed architecture on both cutting edge Xilinx and Altera devices, pipeline depth affects maximum running frequency much more than power consumption, and the pipeline depth should be limited to obtain maximum running frequency for binary32 FPM on both cutting edge target devices, which is consistent to the previous study. Meanwhile, the study demonstrates the pipeline depth to reach at peak performance is lower than that of targeting at FPGA device with 4-input LUTs years ago.
机译:在实际应用中,现有乘法器很少采用流水线级超过五个的高流水线深度架构。本文提出了一种基于现场可编程门阵列(FPGA)的binary32浮点乘法器(FPM),以支持各种流水线深度,并研究了流水线架构的影响。基于基数为4的Booth编码方法,改进的Wallace树和部分产品累积来制定管道体系结构。在对最先进的Xilinx和Altera器件上的拟议架构进行详细和定量研究后,流水线深度对最大运行频率的影响远大于功耗,并且应限制流水线深度,以在两个前沿目标上获得二进制32 FPM的最大运行频率设备,这与以前的研究一致。同时,研究表明,达到峰值性能所需的流水线深度要比多年前针对具有4输入LUT的FPGA器件的流水线深度要低。

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