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Complexity and performance results for non FFT-based univariate polynomial multiplication

Published: 28 January 2011 Publication History

Abstract

Today's parallel hardware architectures and computer memory hierarchies enforce revisiting fundamental algorithms which were often designed with algebraic complexity as the main complexity measure and with sequential running time as the main performance counter. This study is devoted to two algorithms for univariate polynomial multiplication algorithms that are are independent of the coefficient ring: the plain and the Toom-Cook univariate multiplications. We analyze their cache complexity and report on their parallel implementations in Cilk++.

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Published In

cover image ACM Communications in Computer Algebra
ACM Communications in Computer Algebra  Volume 44, Issue 3/4
September/December 2010
145 pages
ISSN:1932-2232
EISSN:1932-2240
DOI:10.1145/1940475
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 January 2011
Published in SIGSAM-CCA Volume 44, Issue 3/4

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