用融合乘加改进补偿霍纳方案

S. Graillat, P. Langlois, N. Louvet
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引用次数: 10

摘要

几种不同的技术和软件旨在提高在固定有限精度下计算结果的准确性。本文重点研究了一种提高多项式求值精度的方法。众所周知,在一些微处理器(如Intel Itanium)上使用融合乘法和加法操作可以略微提高霍纳方案的准确性。在本文中,我们提出了一种专门设计的精确补偿的Horner方案,利用了融合乘和加,并证明了计算结果的精度相当于工作精度的两倍。我们提出的算法很快,因为它只需要很好地优化浮点运算,在与给定数据相同的工作精度下执行。
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Improving the compensated Horner scheme with a fused multiply and add
Several different techniques and softwares intend to improve the accuracy of results computed in a fixed finite precision. Here we focus on a method to improve the accuracy of the polynomial evaluation. It is well known that the use of the Fused Multiply and Add operation available on some microprocessors like Intel Itanium improves slightly the accuracy of the Horner scheme. In this paper, we propose an accurate compensated Horner scheme specially designed to take advantage of the Fused Multiply and Add. We prove that the computed result is as accurate as if computed in twice the working precision. The algorithm we present is fast since it only requires well optimizable floating point operations, performed in the same working precision as the given data.
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