This project demonstrates how a resistive crossbar can be used to perform matrix-vector multiplication. The goal is to simulate a 4x4 resistive crossbar in SPICE, where the resistances at each ...

This directory contains a benchmark harness for testing different implementations of vector-matrix multiply (VMM) for varying problem sizes. The main code is benchmark.cpp, which sets up the problem, ...

Abstract: In many applications, matrix multiplication involves different shapes of matrices. The shape of the matrix can significantly impact the performance of matrix multiplication algorithm. This ...

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 ...

Abstract: Distributed matrix-vector multiplication plays a key role in numerous computing-intensive applications, including machine learning, by leveraging distributed computing resources known as ...

A novel AI-acceleration paper presents a method to optimize sparse matrix multiplication for machine learning models, particularly focusing on structured sparsity. Structured sparsity involves a ...