Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

Arceon (Delft, Netherlands) produces a family of ceramic matrix composites (CMC) called Carbeon which comprise uncoated carbon fiber reinforcement in a carbon-silicon carbide matrix (C/C-SiC) made ...

This project implements a matrix multiplication system using POSIX threads in C. The program offers both single-threaded and multi-threaded approaches to matrix multiplication, allowing users to ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Researchers claim to have developed a new way to run AI language models more efficiently by eliminating matrix multiplication from the process. This fundamentally redesigns neural network operations ...

Presenting an algorithm that solves linear systems with sparse coefficient matrices asymptotically faster than matrix multiplication for any ω > 2. Our algorithm can be viewed as an efficient, ...

Abstract: In this work we present an original GPU-only parallel matrix-matrix multiplication algorithm (C = αA * B + βC) for servers with multiple GPUs connected by NVLink. The algorithm is ...