快速多项式乘法在F260

David Harvey, J. Hoeven, Grégoire Lecerf
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引用次数: 17

摘要

post-Schönhage-Strassen乘法算法在实际中对于大的输入大小有竞争力吗?到目前为止,GMP库仍然优于最近的所有实现,更有效的整数乘法算法,包括f - rer, De- Kurur- Saha- Saptharishi和我们自己。在本文中,我们展示了我们最近的渐近快速算法的中心思想如何对特征为2的有限域上的多项式乘法具有实际意义。我们的mathmagix实现是基于自动生成汇编代码集的。它在很大程度上优于现有的实现,特别是在有限域上的多项式矩阵乘法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast Polynomial Multiplication over F260
Can post-Schönhage-Strassen multiplication algorithms be competitive in practice for large input sizes? So far, the GMP library still outperforms all implementations of the recent, asymptotically more efficient algorithms for integer multiplication by Fürer, De--Kurur--Saha--Saptharishi, and ourselves. In this paper, we show how central ideas of our recent asymptotically fast algorithms turn out to be of practical interest for multiplication of polynomials over finite fields of characteristic two. Our Mathemagix implementation is based on the automatic generation of assembly codelets. It outperforms existing implementations in large degree, especially for polynomial matrix multiplication over finite fields.
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