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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 havebeen known for long time, square-root architectures based on the GST approach havenot been proposed so far which do not require a final division/multiplication of the scalefactor. A GST square-root architecture is developed without requiring either amultiplication 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 andSRT division/square-root units are presented. Shared divider and square-root units aredesigned based on the SRT and the GST approaches, in minimally and maximallyredundant radix-4 representations. Simulations demonstrate that the worst-case overalllatency of the minimally-redundant GST architecture is 35% smaller compared to theSRT. Alternatively, for a fixed latency, the minimally-redundant GST architecturebased division and square-root operations consume 32% and 28% less power,respectively, compared to the maximally-redundant SRT approach.
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方法的平方根架构,这些架构不需要最终的比例因子除法/乘法。开发了GST平方根架构,无需进行乘法来更新每次迭代中缩放的平方根商,也不需要在完成平方根迭代后除以缩放因子进行除法/乘法。此外,还对速度和功耗的定量比较列出了GST和SRT划分/平方根单位。共享的除法器和平方根单元是基于SRT和GST方法设计的,以最小和最大冗余基数4表示。仿真表明,与SRT相比,最小冗余GST架构的最坏情况下整体延迟要小35%。或者,对于固定延迟,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。

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