Floating-point division and square root implementation using a Taylor-series expansion algorithm with reduced look-up tables

Taek-Jun Kwon, J. Draper
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引用次数: 25

Abstract

Hardware support for floating-point (FP) arithmetic is an essential feature of modern microprocessor design. Although division and square root are relatively infrequent operations in traditional general-purpose applications, they are indispensable and becoming increasingly important in many modern applications. In this paper, a fused floating-point multiply/divide/square root unit using the Taylor-series expansion algorithm with reduced lookup tables is presented. The implementation results of the proposed fused unit based on standard cell methodology in IBM 90 nm technology exhibits that the incorporation of square root function to an existing multiply/divide unit requires only a modest 20% area increase and the same low latency for divide and square root operation can be achieved (12 cycles). The proposed arithmetic unit also exhibits a reasonably good area-performance balance.
浮点除法和平方根的实现使用泰勒级数展开算法与减少查找表
对浮点运算的硬件支持是现代微处理器设计的一个基本特征。尽管除法和平方根在传统的通用应用程序中是相对不常见的操作,但它们在许多现代应用程序中是不可或缺的,并且变得越来越重要。提出了一种基于简化查找表的泰勒级数展开算法的浮点乘/除/平方根融合算法。基于IBM 90nm技术的标准单元方法的融合单元的实现结果表明,将平方根函数合并到现有的乘法/除法单元中只需要适度增加20%的面积,并且可以实现相同的除法和平方根运算的低延迟(12个周期)。所提出的算术单元也表现出相当好的面积性能平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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