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首页> 外文期刊>International Journal on Smart Sensing and Intelligent Systems >Vedic Mathematics Based 32-Bit Multiplier Design for High Speed Low Power Processors
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Vedic Mathematics Based 32-Bit Multiplier Design for High Speed Low Power Processors

机译:基于吠陀数学的高速低功耗处理器32位乘法器设计

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摘要

Vedic Mathematics is the ancient methodology of Indian mathematics which has a unique technique for arithmetic computations based on 16 Sutras (Formulae). Transistor level implementation (ASIC) of Vedic Mathematics based 32-bit multiplier for high speed low power processor is reported in this paper. Simple Boolean logic is combined with ‘Vedic’ formulas, which reduces the partial products and sums generated in one step, reduces the carry propagation from LSB to MSB. The implementation methodology ensure substantial reduction of propagation delay in comparison with Wallace Tree (WTM), modified Booth Algorithm (MBA), Baugh Wooley (BWM) and Row Bypassing and Parallel Architecture (RBPA) based implementation which are most commonly used architectures. The functionality of these circuits was checked and performance parameters like propagation delay and dynamic power consumption were calculated by spice spectre using standard 90nm CMOS technology. The propagation delay of the resulting 32×32 multiplier was only ~1.06 us and consumes ~132 uW power. The implementation offered significant improvement in terms of delay and power from earlier reported ones.
机译:吠陀数学是印度数学的古老方法论,它具有一种独特的技术,可基于16个经文(公式)进行算术运算。本文报道了基于吠陀数学的高速低功耗处理器的32位乘法器的晶体管级实现(ASIC)。简单的布尔逻辑与“ Vedic”公式结合使用,可减少一步生成的部分乘积和和,并减少从LSB到MSB的进位传播。与基于华莱士树(WTM),修改后的Booth算法(MBA),鲍尔·沃利(BWM)和基于行绕过和并行架构(RBPA)的最常用架构相比,该实现方法可确保大幅减少传播延迟。使用标准的90nm CMOS技术,通过香料分析仪检查了这些电路的功能,并计算了诸如传播延迟和动态功耗之类的性能参数。所得的32×32乘法器的传播延迟仅为〜1.06 us,消耗的功率为〜132 uW。与以前报告的相比,该实现在延迟和功率方面提供了显着的改进。

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