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A 58-Addition, Rank-23 Scheme for General 3 × 3 Matrix Multiplication

2025.
Perminov Andrew Igorevich
This paper presents a new state-of-the-art algorithm for exact 3×3 matrix multiplication over general non-commutative rings, achieving a rank-23 scheme with only 58 scalar additions. This improves the previous best additive complexity of 60 additions without a change of basis. The result was discovered through an automated search combining ternary-restricted flip-graph exploration with greedy intersection reduction for common subexpression elimination. The resulting scheme uses only coefficients from {−1,0,1}, ensuring both efficiency and portability across arbitrary fields. The total scalar operation count is reduced from 83 to 81.
Language: English
DOI
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Keywords: fast matrix multiplicationternary coefficient setadditive complexity
Similar publications
Fast Matrix Multiplication via Ternary Meta Flip Graphs
Perminov Andrew Igorevich, / Series Computer Science "arxiv.org". 2025.
Matrix multiplication optimization remains a fundamental challenge in computational mathematics. This work introduces a novel approach that discovers matrix multiplication schemes whose coefficients are restricted to the set {−1,0,1} (denoted ZT), minimizing naive additive complexity for efficient hardware implementation. The core of the method is a GPU-accelerated meta flip graph algorithm that maintains ternary safety ...
Added: September 14, 2026
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Perminov Andrew Igorevich, / Series Computer Science "arxiv.org". 2025.
This paper presents a parallel random-search method for reducing additive complexity in fast matrix multiplication algorithms with ternary coefficients {−1,0,1}. The approach replaces expensive exact evaluation with fast heuristic scoring, including the new Greedy-Intersections strategy. The method runs many independent common subexpression elimination processes in parallel, exploring the search space through random pair substitutions and ...
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