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 ...

Abstract: Sparse matrix-vector multiplication (Spiv) is an important kernel used in solving many scientific and engineering problems. The massive parallelism of graphics processing units (GPUs) makes ...

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 ...

This repository contains the SystemVerilog code and simulation results for a systolic array-based matrix-vector multiplication for signed 8 bit integers. The architecture is designed to perform the ...

Abstract: Sparse matrix-vector multiplication (SpMV) plays a key role in computational science and engineering, graph processing, and machine learning applications ...

ABSTRACT: The sparse matrix vector multiplication (SpMV) is inevitable in almost all kinds of scientific computation, such as iterative methods for solving linear systems and eigenvalue problems. With ...

ABSTRACT: The sparse matrix vector multiplication (SpMV) is inevitable in almost all kinds of scientific computation, such as iterative methods for solving linear systems and eigenvalue problems. With ...