This project performs operations on matrices, including multiplication and calculating the sum of the smallest elements in each row of the resulting matrix. Users can input matrices manually or ...

This project implements a simple matrix multiplication calculator in Mojo, a programming language designed for AI and high-performance computing. The goal is to test Mojo's standard library, identify ...

Abstract: Half-precision matrix multiply has played a key role in the training of deep learning models. The newly designed Nvidia Tensor Cores offer the native instructions for half-precision small ...

We’re just a few years into the AI revolution, but AI systems are already improving decades-old computer science algorithms. Google’s AlphaEvolve AI, its latest coding agent for algorithm discovery, ...

Abstract: This paper describes a novel framework, called I n T ens L i ("intensely"), for producing fast single-node implementations of dense tensor-times-matrix multiply (T tm) of arbitrary dimension ...

Sparse matrix computations are prevalent in many scientific and technical applications. In many simulation applications, the solving of the sparse matrix-vector multiplication (SpMV) is critical for ...