Abstract: Leveraging the idea of group theory, we explore the distributed matrix multiplication problem posed in on-device edge computing. We first revisit how to embed matrix multiplication into ...

A few months ago, I had the pleasure of tuning into the Modular AI 2023 product release keynote. It was a riveting experience, filled with anticipation and excitement, especially when the fast Matrix ...

Matrix multiplication involves the multiplication of two matrices to produce a third matrix – the matrix product. This allows for the efficient processing of multiple data points or operations ...

Computer scientists have discovered a new way to multiply large matrices faster by eliminating a previously unknown inefficiency, leading to the largest improvement in matrix multiplication efficiency ...

Google-owned DeepMind has applied reinforced learning techniques to the multiplication of mathematical matrices, beating some human-made algorithms that have lasted 50 years and working toward ...

This repository contains a comprehensive report detailing the implementation and optimization of matrix multiplication using OpenMP and CUDA. The goal of the project was to enhance the performance of ...

Abstract: Sparse matrix multiplication is widely used in various practical applications. Different accelerators have been proposed to speed up sparse matrix-dense vector multiplication (SpMV), sparse ...