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A novel low-power shared division and square-root architecture using the GST algorithm

机译:使用GST算法的新型低功耗共享除法和平方根架构

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摘要

Although SRT division and square-root approaches and GST division approach have been known for long time, square-root architectures based on the GST approach have not been proposed so far which do not require a final division/multiplication of the scale factor. A CST square-root architecture is developed without requiring either a multiplication to update the scaled square-root quotient in each iteration or a division/ multiplication by the scaling factor after completing the square-root iterations. Additionally, quantitative comparison of speed and power consumption of GST and SRT division/square-root units are presented. Shared divider and square-root units are designed based on the SRT and the GST approaches, in minimally and maximally redundant radix-4 representations. Simulations demonstrate that the worst-case overall latency of the minimally-redundant GST architecture is 35% smaller compared to the SRT. Alternatively, for a fixed latency, the minimally-redundant GST architecture based division and square-root operations consume 32% and 28% less power, respectively, compared to the maximally-redundant SRT approach. [References: 30]
机译:尽管SRT划分和平方根方法以及GST划分方法早已为人所知,但到目前为止,尚未提出基于GST方法的平方根体系结构,它们不需要对比例因子进行最终的除法/乘法。开发了CST平方根体系结构,无需进行乘法以更新每次迭代中的缩放平方根商,也不需要在完成平方根迭代后将比例因子除/乘。此外,还给出了GST和SRT划分/平方根单位的速度和功耗的定量比较。共享的除法器和平方根单元是基于SRT和GST方法设计的,具有最小和最大冗余基数4表示形式。仿真表明,与SRT相比,最小冗余GST体系结构的最坏情况下的整体延迟要小35%。或者,对于固定等待时间,与最大冗余SRT方法相比,基于最小冗余GST架构的除法和平方根运算分别消耗32%和28%的功率。 [参考:30]

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