A Normal Form for Matrix Multiplication Schemes
Manuel Kauers, Jakob Moosbauer

TL;DR
This paper introduces an algorithm to compute a normal form for matrix multiplication schemes, enabling efficient pairwise equivalence checks among many schemes by leveraging their symmetry group.
Contribution
The paper presents a novel algorithm to compute a normal form for matrix multiplication schemes, improving the efficiency of equivalence testing.
Findings
The normal form algorithm reduces computational complexity.
Efficiently identifies equivalent schemes in large sets.
Enhances analysis of matrix multiplication schemes' symmetry groups.
Abstract
Schemes for exact multiplication of small matrices have a large symmetry group. This group defines an equivalence relation on the set of multiplication schemes. There are algorithms to decide whether two schemes are equivalent. However, for a large number of schemes a pairwise equivalence check becomes cumbersome. In this paper we propose an algorithm to compute a normal form of matrix multiplication schemes. This allows us to decide pairwise equivalence of a larger number of schemes efficiently.
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Taxonomy
TopicsCoding theory and cryptography · Tensor decomposition and applications · Cryptography and Residue Arithmetic
