Reconfigurable array for transcendental functions calculation

M. Sima, M. McGuire, Scott Miller
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引用次数: 3

Abstract

Expanding transcendental functions in a series of Shift-and-Add operations is an alternative to Taylor or Chebyshev series expansions when fixed-point arithmetic with reduced wordlength is required. Typically, reconfigurable arrays do not provide architectural support for shift operations. Instead, shift operations are emulated by either multiplexing logic or multiplication by a power of 2. In this paper we describe the architecture of a reconfigurable array that can natively support shift operations. Rather than augmenting the reconfigurable fabric with dedicated shift units, the interconnection network is extended with shift capabilities. This is conceptually possible since a shift operation is a rearrangement and not a combination of the signals. Layers of computing tiles supporting Shift-and-Add/Subtract and Add-and-Select operations are interleaved with interconnect layers. On such a reconfigurable array, a variety of transcendental functions can be efficiently implemented.
用于超越函数计算的可重构数组
当需要减少字长的定点算术时,在一系列Shift-and-Add操作中展开超越函数是Taylor或Chebyshev级数展开的替代方法。通常,可重构数组不提供移位操作的体系结构支持。相反,移位操作是通过多路复用逻辑或乘以2的幂来模拟的。在本文中,我们描述了一个可重构阵列的体系结构,它可以本地支持移位操作。而不是增加可重构结构与专用移位单元,互联网络扩展与移位能力。这在概念上是可能的,因为移位操作是重新排列而不是信号的组合。支持“Shift-and-Add/Subtract”和“Add-and-Select”操作的计算块层与互连层相互交错。在这种可重构阵列上,可以有效地实现各种超越函数。
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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