Abstract: Matrix multiplication is a cornerstone operation in a wide array of scientific fields, including machine learning and computer graphics. The standard ...

Abstract: Prior implementations of Strassen's matrix multiplication algorithm on GPUs traded additional workspace in the form of global memory or registers for time. Although Strassen's algorithm ...

The main goal of this assignment was to grasp an understanding of how divide and conquer algorithms work while experimenting with the time and space efficiency between divide & conquer, and ...

[matrix_a[i][j] + matrix_b[i][j] for j in range(len(matrix_a[0]))] for i in range(len(matrix_a)) [matrix_a[i][j] - matrix_b[i][j] for j in range(len(matrix_a[0 ...

The 'algorithm for calculating the matrix product' that AlphaTensor worked on this time is used in various fields related to daily life, such as image processing, game graphics processing, weather ...

In 1971, German mathematicians Schönhage and Strassen predicted a faster algorithm for multiplying large numbers, but it remained unproven for decades. Mathematicians from Australia and France have ...

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 ...