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High-order Taylor series approximation for efficient computation of elementary functions

机译:高阶泰勒级数逼近,可有效计算基本函数

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A new piecewise polynomial method is proposed to compute elementary functions by using high-order Taylor approximation. The high-order power terms of the series are proposed to be approximated by using simple and fast table lookup. Furthermore, the similarity and regularity among the Taylor coefficients can make possible the sharing of the lookup tables. The authors have developed an error analysis method to estimate the maximum error of the proposed approximation approach, and formulated the procedure for determining the hardware parameters in the approximation unit. Finally, the authors have designed a single-precision approximation unit for computing six common elementary functions. The coefficient sharing approach can result in at least 30.5% reduction in the coefficient lookup tables. Compared with a previous work by Piñeiro ., the authors can save 27.91% of the lookup tables with some extra cost in computation hardware. Compared with the work by Alimohammad ., 34.85% of the lookup tables can be saved with the same computation hardware cost. The authors conclude that the proposed approaches can effectively reduce the lookup tables required in the piecewise polynomial approximation for efficient elementary function computation.
机译:提出了一种新的分段多项式方法,通过使用高阶泰勒逼近来计算基本函数。建议通过使用简单快速的表查找来近似该系列的高阶功率项。此外,泰勒系数之间的相似性和规律性可以使查找表的共享成为可能。作者已经开发出一种误差分析方法来估计所提出的近似方法的最大误差,并制定了确定近似单元中硬件参数的程序。最后,作者设计了一个单精度逼近单元,用于计算六个常见的基本函数。系数共享方法可以减少系数查找表至少30.5%。与Piñeiro先前的工作相比,作者可以节省27.91%的查找表,而在计算硬件上要多花一些钱。与Alimohammad。的工作相比,可以以相同的计算硬件成本节省34.85%的查找表。作者得出结论,提出的方法可以有效地减少分段多项式逼近所需的查找表,以实现高效的基本函数计算。

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