Proceedings of the 2018 ACM International Symposium on Symbolic and Algebraic Computation 2018
DOI: 10.1145/3208976.3208998
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Frobenius Additive Fast Fourier Transform

Abstract: In ISSAC 2017, van der Hoeven and Larrieu showed that evaluating a polynomial P ∈ F q [x] of degree < n at all n-th roots of unity in F q d can essentially be computed d-time faster than evaluating Q ∈ F q d [x] at all these roots, assuming F q d contains a primitive n-th root of unity [vdHL17a]. Termed the Frobenius FFT, this discovery has a profound impact on polynomial multiplication, especially for multiplying binary polynomials, which finds ample application in coding theory and cryptography. In this pape… Show more

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Cited by 4 publications
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“…To avoid confusion, we refer to such algorithms as multiplicative FFTs hereafter. Additive FFTs have been investigated as an alternative to multiplicative FFTs for use in fast multiplication algorithms for binary polynomials [28,6,23,8,9,18], and have also found applications in coding theory and cryptography [4,3,10,1].…”
Section: Introductionmentioning
confidence: 99%
“…To avoid confusion, we refer to such algorithms as multiplicative FFTs hereafter. Additive FFTs have been investigated as an alternative to multiplicative FFTs for use in fast multiplication algorithms for binary polynomials [28,6,23,8,9,18], and have also found applications in coding theory and cryptography [4,3,10,1].…”
Section: Introductionmentioning
confidence: 99%