2006IEEE Transactions on ComputersRequires access

Relationship between GF(2^m) Montgomery and Shifted Polynomial Basis Multiplication Algorithms

Haining Fan, M.A. Hasan

Open publisher page 13 citations

Abstract

Applying the matrix-vector product idea of the Mastrovito multiplier to the GF(2^{m}) Montgomery multiplication algorithm, we present a new parallel multiplier for irreducible trinomials. This multiplier and the corresponding shifted polynomial basis (SPB) multiplier have the same circuit structure for the same set of parameters. Furthermore, by establishing isomorphisms between the Montgomery and the SPB constructions of GF(2^{m}), we show that the Montgomery algorithm can be used to perform the SPB multiplication without any changes and vice versa.

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What this paper is about

Applying the matrix-vector product idea of the Mastrovito multiplier to the GF(2^{m}) Montgomery multiplication algorithm, we present a new parallel multiplier for irreducible trinomials. This multiplier and the corresponding shifted polynomial basis (SPB) multiplier have the same circuit structure for the same set of parameters. Furthermore, by establishing isomorphisms between the Montgomery and the SPB constructions of GF(2^{m}), we show that the Montgomery algorithm can be used to perform the SPB multiplication without any changes and vice versa.

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Available abstract

Applying the matrix-vector product idea of the Mastrovito multiplier to the GF(2^{m}) Montgomery multiplication algorithm, we present a new parallel multiplier for irreducible trinomials. This multiplier and the corresponding shifted polynomial basis (SPB) multiplier have the same circuit structure for the same set of parameters. Furthermore, by establishing isomorphisms between the Montgomery and the SPB constructions of GF(2^{m}), we show that the Montgomery algorithm can be used to perform the SPB multiplication without any changes and vice versa.

Key concepts: Trinomial, GF(2), Polynomial basis, Mathematics, Multiplier (economics), Multiplication algorithm, Multiplication (music), Matrix multiplication

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