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September 18, 20250 citationsOpen Access

Multiplication-Free Gaussian Elimination and Matrix Inversion via Bitplane Semantics: Exact Trailing Updates with Boolean GEMM, GF(2) Gauss–Jordan, Bareiss, and Modular CRT

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MRMichael Rey

Key Points

  • This method executes gaussian elimination without any scalar multiplications, increasing efficiency.
  • The approach integrates boolean gemm with three pivoting methods, providing versatility in matrix operations.
  • All updates are bit-sliced and designed to handle numerical stability across different number systems.
  • Executable code is provided alongside numerical validation for the algorithms, ensuring practical application.

Abstract

We extend our multiplication-free bit-sliced paradigm from matrix multiplication and determinants to Gaussian elimination and matrix inversion. All trailing updates are bilinear and can be executed by a Boolean (bit-sliced) GEMM with bitwise AND, population count, shifts and additions, yielding zero scalar multiplications at the matrix level. We integrate the bit-sliced core with three exact pivot/inversion regimes: (i) fully Boolean Gauss-Jordan over F2; (ii) fraction-free Bareiss over Z; (iii) modular LU over primes with CRT reconstruction. We provide executable code and small numerical checks; all GEMM-shaped updates are multiplication-free.

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Cite This Study

Michael Rey (2025) studied this question.

synapsesocial.com/papers/68d463db31b076d99fa62b25https://doi.org/10.20944/preprints202509.1122.v1
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