可重构网格中三整数乘法的自适应Booth算法

Y. Ben-Asher, Esti Stein
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引用次数: 1

摘要

提出了一种可重构网格(RM)的三整数乘法算法R = a * X * Y。它是基于三整数乘法算法为更快的FPGA实现。我们证明了三个n位整数的乘法可以在大小为(3n+log n+1)×(2√n+1+3) ×√n+1的3D RM上执行,使用44+18.log log MNO步骤,其中MNO是一个界,它与相乘数中“1”的序列数有关。MNO的值以n为界,但实验表明,平均而言,它是根号n。存在两种求解RM上乘法的算法,它们的技术在时间方面渐进式更好,分别为O(1)和O(log*n),但它们分别受到大隐藏常数和慢数据插入时间O(√n)的影响。与前两种算法相比,本文提出的算法相对简单,平均速度更快(通过采样输入值),因此有助于使RM成为一个实用可行的模型。我们的实验表明,我们提出的算法在期望的基本运算次数上有了显著的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive Booth Algorithm for Three-Integers Multiplication for Reconfigurable Mesh
This paper presents a three-integers multiplication algorithm R = A * X * Y for Reconfigurable Mesh (RM). It is based on a three-integer multiplication algorithm for faster FPGA implementations. We show that multiplying three integers of n bits can be performed on a 3D RM of size (3n+log n + 1)×(2√n+1+3) × √n+1 using 44+18.log log MNO steps, where MNO is a bound which is related to the number of sequences of '1's in the multiplied numbers. The value of MNO is bounded by n but experimentally we show that on the average it is sqrt n. Two algorithms for solving multiplication on a RM exists and their techniques are asymptotically better time wise, O(1) and O(log*n), but they suffer from large hidden constants and slow data insertion time O(√n) respectively. The proposed algorithm is relatively simple and faster on the average (via sampling input values) then the previous two algorithms thus contributes in making the RM a practical and feasible model. Our experiments show a significant improvement in the expected number of elementary operations for the proposed algorithm.
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