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Comparative Analysis of 4-bit CMOS Vedic Multiplier and GDI Vedic Multiplier using 18nm FinFET Technology

机译:使用18nm FinFET技术的4位CMOS吠陀乘法器和GDI吠陀乘法器的比较分析

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Today’s modern market needs application computational blocks to execute complex operations with an ease to satisfy low power requirements, wherein relentless efforts are being made by the researchers to optimize these computational blocks in terms of speed, power, and area requirements. The core key component in these computational blocks is Multipliers. Since, these multiplier circuits directly effects the performance of overall computation block or overall system, where there is a need to optimize the multiplier circuit. Since, it is already known that the multiplication requires several steps and is a lengthy process, the algorithm of Vedic multiplication is used to speed-up the multiplication process. Moreover, by implementing the Vedic multiplier circuit with the GDI technique, there will be a further reduction in number of transistors and propagation delay. So, here in this paper the Vedic multiplier circuit is implemented by using GDI technique and also 18nm FinFET is deployed for analyzing simulation results. Here, the primary objective is to optimize the proposed multiplier circuitry, where an experimental analysis is conducted by comprising the parameters such as propagation Delay, Power, Area and Power-Delay-Product (PDP). All experimental analysis is done using Cadence Virtuoso.
机译:当今的现代市场需要应用计算块来轻松满足低功耗要求来执行复杂的操作,研究人员正在不懈地努力,以在速度,功率和面积要求方面优化这些计算块。这些计算模块中的核心关键组成部分是乘数。由于这些乘法器电路直接影响整个计算模块或整个系统的性能,因此需要优化乘法器电路。由于已经知道乘法需要几个步骤并且是一个漫长的过程,因此吠陀乘法的算法被用来加速乘法过程。此外,通过用GDI技术实现吠陀乘法器电路,将进一步减少晶体管的数量和传播延迟。因此,在本文中,Vedic乘法器电路是使用GDI技术实现的,并且还部署了18nm FinFET来分析仿真结果。此处,主要目的是优化所提出的乘法器电路,其中通过包括诸如传播延迟,功率,面积和功率延迟乘积(PDP)之类的参数来进行实验分析。所有实验分析均使用Cadence Virtuoso完成。

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