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Fast and power efficient 16×16 Array of Array multiplier using Vedic Multiplication

机译:使用Vedic乘法的快速,低功耗16×16阵列乘法器

摘要

This paper discusses about "Array of Array" multiplier which is a derivative of Braun Array Multiplier. Braun array are much suitable for VLSI implementation because of its less space complexity though it shows larger time complexity, on the other hand tree multipliers have time complexity of O(log n) but are less suitable for VLSI implementation since, being less regular; they require larger total routing length, which leads to performance degradation; simply put, they show higher space complexity. The main advantage of "Array of Array" multipliers is its inherent ability to reduce both time and space complexity [7] [8] with intermediate relative performance [7]. In this paper a 16×16 unsigned 'Array of Array' multiplier circuit is designed with hierarchical structuring, it has been optimized using Vedic Multiplication Sutra (Algorithm) "Urdhva Triyagbhyam" [1][6] and Karatsuba-Ofman algorithm[2]. The proposed algorithm is useful for math coprocessors in the field of computers. Algorithm is implemented on SPARTAN-3E FPGA (Field Programmable Gate Array). The proposed multiplier implementation shows large reduction in average power dissipation and in time delay as compared to Booth encoded radix-4 multiplier.
机译:本文讨论“数组数组”乘数,它是Braun数组乘法器的派生词。 Braun数组虽然时间复杂度较高,但由于其空间复杂度较低,因此非常适合VLSI实现;另一方面,树乘法器的时间复杂度为O(log n),但由于规则性较差,因此不适合VLSI实现;它们需要较大的总布线长度,这会导致性能下降;简而言之,它们显示出更高的空间复杂性。 “数组数组”乘法器的主要优点是其固有的能力,可以降低时间和空间复杂度[7] [8],同时具有相对的相对性能[7]。本文采用分层结构设计了一个16×16无符号“阵列数组”乘法器电路,并使用吠陀乘法Sutra(Algorithm)“ Urdhva Triyagbhyam” [1] [6]和Karatsuba-Ofman算法[2]对其进行了优化。 。所提出的算法对于计算机领域的数学协处理器很有用。算法在SPARTAN-3E FPGA(现场可编程门阵列)上实现。与Booth编码的radix-4乘法器相比,建议的乘法器实现显示出平均功耗和时间延迟的大幅降低。

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