截断华莱士基于单精度浮点乘法器

Abhay Sharma, T. Rawat
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引用次数: 2

摘要

数字信号处理算法(如滤波器)的硬件实现很大程度上需要乘法器。对于要处理的数据的动态范围寻址,浮点表示法优于定点表示法。但是浮点乘法器由于其显著的延迟和面积给设计者带来了挑战。本文研究了四舍五入到零模式下的浮点乘法器,并提出了尾数乘法的截断华莱士树。对比表明,采用截断二进制位后,全加法器数量减少30%,半加法器数量减少39.7%。在Verilog描述和Xilinx Vivado设计套件的帮助下,针对Artix-7 FPGA实现了现有和提出的结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Truncated Wallace Based Single Precision Floating Point Multiplier
Hardware implementation of digital signal processing algorithms such as filters largely requires multipliers. For addressing dynamic range of data to be processed floating point representation are preferred over fixed point. But floating point multiplier imposes challenges to designer due to their significant delay and area. Here, floating point multiplier in round to zero mode is investigated and truncated wallace tree is proposed for mantissa multiplication. Comparison reveals that number of full adders is reduced by 30% and number of half adders is reduced by 39.7% when truncation of binary bits is employed. With the help of Verilog description and Xilinx Vivado design suite existing and proposed structure were implemented targeting Artix-7 FPGA.
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