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Implemenation and Analysis of Different 32-Bit Multipliers on Aspects of Power, Speed and Area

机译:不同32位乘数在电力,速度和区域方面的不同32位乘数的实施与分析

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VLSI is a domain that is constantly pushing the boundaries in the field of logical devices by striving to get greater compute power from reduced device area by composition of high number of logical devices onto ever decreasing areas. It is well known that multipliers consume most of the power in DSP computations. It is of utmost importance for modern DSP systems to come up with multipliers that consume low power to reduce the power dissipation without needing to compromise on speed and area. This paper talks about the implementation of four different 32-bit multiplier architectures and the comparison of the speed, area and power of the multipliers and their applications. The four multipliers being considered are Booth multiplier, Wallace Tree Multiplier, Vedic Multiplier and Dadda multiplier. The Multipliers are designed and implemented using Verilog and synthesised using Xilinx ISE tool. A Wallace tree multiplier is the improved version of tree-based multiplier architecture. It uses the Carry-Save addition algorithm to reduce the latency. Many modifications and new techniques are being worked upon to enhance speed of the standard Booth Multiplier. Vedic multiplier is built on the foundation of Vedic mathematics. It is an area that's drawing wide interest and focus due to its capabilities of being a low power multiplier combined with faster compute speed. There are sixteen sutras in Vedic multiplication in which “Urdhva Tiryakbhyam” has been noticed to be the most efficient one in terms of speed. Dadda multiplier does the minimum reduction necessary at each level to perform the reduction in the same number of levels as required by a Wallace tree multiplier it exhibit similar delay.
机译:VLSI是一个域,它是通过努力通过大量逻辑设备的组成来获得从减少的设备区域获得更大的计算电源在较高数量的逻辑设备上的逻辑设备上的界限。众所周知,乘法器消耗DSP计算中的大部分电力。对于现代DSP系统提出乘客来说至关重要,该乘法器消耗低功耗以减少功耗,而无需妥协速度和区域。本文讨论了四种不同的32位乘数架构的实现以及乘法器及其应用程序的速度,区域和功率的比较。被认为的四个乘法器是展位乘数,华莱士树乘法器,Vedic乘法器和Dadda乘法器。使用Verilog设计和实现乘法器,并使用Xilinx ISE工具合成。华莱士树乘数是基于树的乘法器架构的改进版本。它使用Carry-Save添加算法来降低延迟。正在进行许多修改和新技术,以提高标准展位倍增器的速度。 Vedic乘法器建立在Vedic Mathematics的基础上。由于其作为低功率乘数的能力与更快的计算速度相结合,它是一种绘制宽松兴趣和焦点的区域。在Vedic乘法中有16个Sutras,其中“URDHVA Tiryakbhyam”已被注意到在速度方面是最有效的。 Dadda乘法器在每个级别的每个级别所需的最小缩减,以根据Wallace树乘数所需的级别执行相同数量的级别,它表现出类似的延迟。

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