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Delay estimation, chip-power analyses and comparison of single-level and multi-level recursive vedic algorithm with conventional algorithms for digital multiplier

机译:延迟估计,码片功率分析以及单级和多级递归吠陀算法与数字乘法器常规算法的比较

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With advent of digital circuits and systems, multipliers have become important functional blocks in digital and mixed-mode operations, in fast processors and micro-controllers design for applications in signal processing, data converters etc. Unfortunately however, very few original algorithms have been reported till date for speed-power optimization in multiplier design. As such processors and/ or digital systems having multiplier blocks continue to use the age-old time-tested Booth algorithm combined with its modifications proposed by Wallace and Dadda. Hence it became imperative to explore new fast multiplier algorithms and optimize their architectures in order to minimize area, complexity by reducing multiplication steps, to maximize speed, yet limiting power-dissipation. This paper re-introduces the Vedic algorithm named Karatsuba-algorithm that was invented for decimal-multiplication and then proposes a novel technique to make it a multi-level, recursive algorithm to further maximize the speed advantage in binary multiplication. A performance comparison of existing array algorithms like Booth Structure and Wallace Tree with the proposed Karatsuba technique and its recursive multi-tiring proposed by these authors, reveal that the proposed modification on Karatsuba algorithm results in most optimized performance on speed-power.
机译:随着数字电路和系统的出现,乘法器已成为数字和混合模式操作,信号处理,数据转换器等应用中的快速处理器和微控制器设计中的重要功能块。但是,遗憾的是,很少有原始算法被报道到目前为止,乘法器设计中的速度功率优化。这样的具有乘法器块的处理器和/或数字系统继续使用经过时间考验的Booth算法及其由Wallace和Dadda提出的修改方法。因此,必须探索新的快速乘法器算法并优化其体系结构,以通过减少乘法步骤来最小化面积,降低复杂性,最大化速度,同时限制功耗。本文重新介绍了为十进制乘法发明的吠陀算法Vedic算法,然后提出了一种新颖的技术使其成为多级递归算法,以进一步最大化二进制乘法的速度优势。这些作者提出的现有的阵列算法(如Boots Structure和Wallace Tree)与所提出的Karatsuba技术及其递归多重累累的性能比较表明,对Karatsuba算法进行的所提出的修改可以使速度功率获得最佳性能。

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