在fpga上实现IEEE单精度浮点加法和乘法

L. Louca, T. A. Cook, W. H. Johnson
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引用次数: 163

摘要

浮点运算由于其算法的复杂性而难以在fpga上实现。另一方面,许多科学问题在计算中需要高精度的浮点运算。因此,我们探索了IEEE单精度浮点数的加法和乘法的FPGA实现。为了节省芯片面积或充分利用我们的原型板,在可能的情况下进行了定制。实现在精确度方面权衡了面积和速度。加法器是位并行加法器,乘法器是位串行乘法器。原型已经在Altera flex8000上实现,32位加法的峰值速率为7 MFlops, 32位乘法的峰值速率为2.3 MFlops。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of IEEE single precision floating point addition and multiplication on FPGAs
Floating point operations are hard to implement on FPGAs because of the complexity of their algorithms. On the other hand, many scientific problems require floating point arithmetic with high levels of accuracy in their calculations. Therefore, we have explored FPGA implementations of addition and multiplication for IEEE single precision floating-point numbers. Customizations were performed where this was possible in order to save chip area, or get the most out of our prototype board. The implementations tradeoff area and speed for accuracy. The adder is a bit-parallel adder, and the multiplier is a digit-serial multiplier. Prototypes have been implemented on Altera FLEX8000s, and peak rates of 7 MFlops for 32-bit addition and 2.3 MFlops for 32-bit multiplication have been obtained.
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