非线性函数评估重用矩阵-向量乘法器

Ce Guo, W. Luk, Wenguang Xu
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引用次数: 0

摘要

本文提出了一种扩展矩阵向量乘法器的方法,以支持非线性函数的求值。该方法通过选择性地覆盖矩阵向量乘法器的输入信号引入非线性。该方法旨在减少计算过程中硬件资源的闲置,最大限度地重用现有矩阵向量乘法器中的算术单元和内部结构,并减少添加附加函数的工作量。从我们对一个有八个非线性函数的案例的分析来看,与具有专用函数评估工具的参考设计相比,所提出的设计在加法、乘法、除法、求幂和对数方面消耗的组件更少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-linear function evaluation reusing matrix-vector multipliers
This paper presents a method to extend matrix-vector multipliers to support the evaluation of non-linear functions. The proposed approach introduces non-linearity by optionally overriding the input signals of the matrix-vector multiplier. The method aims to reduce the idleness of hardware resources during computation, to maximise the reuse of arithmetic units and internal structures in existing matrix-vector multipliers, and to reduce the effort in adding additional functions. From our analysis on a case with eight non-linear functions, the proposed design consumes fewer components for addition, multiplication, division, exponentiation and logarithm than a reference design with dedicated function evaluation facilities.
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