High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers ...

Montgomery Multiplication: An algorithm that efficiently computes modular multiplication by eliminating the need for explicit division, via a transformation into a specialised domain.

The binary (or Ising) perceptron is a toy model of a single-layer neural network and can be viewed as a random constraint satisfaction problem with a high degree of connectivity. The model and its ...

Next-Gen Decoding: Non-Binary LDPC Algorithms for Emerging Power Line and Visible Light Communications ...

Implementation of Booth's algorithm for signed binary multiplication. It includes code designed for the PDUA processor, developed by the Pontificia Universidad Javeriana. The algorithm is provided in ...

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