This repository contains an MPI-based program written in C for multiplying a dense n x n matrix A with a vector B in parallel. The program follows a parallel algorithm where each process computes ...

This C++ project simulates matrix multiplication with a shared vector, showcasing the principles of parallel computing and shared memory utilization.

Abstract: On-chip optical neural networks (ONNs) have recently emerged as an attractive hardware accelerator for deep learning applications, characterized by high computing density, low latency, and ...

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 ...

Nearly all big science, machine learning, neural network, and machine vision applications employ algorithms that involve large matrix-matrix multiplication. But multiplying large matrices pushes the ...