A new research paper titled “Discovering faster matrix multiplication algorithms with reinforcement learning” was published by researchers at DeepMind. “Here we report a deep reinforcement learning ...

Abstract: Matrix multiplication is a commonly used operation in various graphics, imaging, robotics, and signal processing applications. In connection with the increase in the growth of the ...

With AlphaTensor, DeepMind Technologies has presented an AI system that is supposed to independently find novel, efficient and provably correct algorithms for complex mathematical tasks. AlphaTensor ...

Montgomery algorithms represent a transformative advancement in the computation of modular arithmetic, specifically designed to bypass the costly division steps inherent in traditional methods. By ...

Abstract: In this paper, we propose three modular multiplication algorithms that use only the IEEE 754 binary floatingpoint operations. Several previous studies have used floatingpoint operations to ...

Standard matrix multiplication with parallel processing Strassen's algorithm for large matrices Automatic optimization between standard and Strassen's algorithm Support for matrices of any size ...

A set of notebooks looking at different algorithms for multiplying integer. These form an investigation into various implementation techniques (e.g. adding operators) and some interesting algorithms.