Low Power Square and Cube Architectures Using Vedic Sutras

V. Kunchigi, L. Kulkarni, S. Kulkarni
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引用次数: 22

Abstract

In this paper low power square and cube architectures are proposed using Vedic sutras. Low power and less area square and cube architectures uses Dwandwa yoga Duplex combination properties of Urdhva Tiryagbhyam sutra and Anurupyena sutra of Vedic mathematics. Simulation results for 8-bit square and 8-bit cube shows that proposed architectures lowers the total power consumption by 45% and area by 63% when compared to the conventional architecture. Also the reduction in power consumption increases with the increase in bit width. Comparison is made between conventional and Vedic method implementations of square and cube architecture. Implementation results show a significant improvement in terms of area, power and delay. Proposed square and cube architectures can be used for high speed and low power applications. Synthesis is done on Xilinx FPGA Device using, Xilinx Family: Spartan 3E, Speed Grade: -4. Propagation delay of the proposed 8-bit square is 4ns and area consumed in terms of slices is 22 and for 8-bit cube propogation delay is 7.72ns and area consumed in terms of slices is 58. Dynamic power estimation for square and cube are 13mW and 16mW respectively.
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使用吠陀经典的低功耗方形和立方体架构
本文利用吠陀经典提出了低功耗方形和立方体结构。低功耗和面积小的方形和立方体建筑使用Dwandwa瑜伽的双重组合特性,结合了吠陀数学的Urdhva Tiryagbhyam经和Anurupyena经。对8位方形和8位立方体的仿真结果表明,与传统架构相比,该架构的总功耗降低了45%,面积减少了63%。此外,功耗的降低随着位宽度的增加而增加。比较了传统方法和吠陀方法实现的方形和立方体结构。实施结果表明,该方案在面积、功耗和时延方面都有显著改善。提出的方形和立方体架构可用于高速和低功耗应用。合成在Xilinx FPGA器件上完成,使用Xilinx家族:Spartan 3E,速度等级:-4。提议的8位正方形的传播延迟为4ns,以切片计算消耗的面积为22;8位立方体的传播延迟为7.72ns,以切片计算消耗的面积为58。方形和立方体的动态功率估计分别为13mW和16mW。
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