This repository contains the hardware design files and verification environment for the MT-TMVP (Modular Tiled Toeplitz Matrix-Vector Polynomial) multiplication algorithm, which is proposed and ...
M-M.E.S.S. provides low-rank solvers for large-scale symmetric matrix equations with sparse or sparse + low-rank coefficients. The main focus is on differential and algebraic Riccati equations ...
Abstract: General sparse matrix-matrix multiplication (SpGEMM) is a fundamental computational method with wide-ranging applications in scientific simulations, machine learning, and image processing.
Non-negative matrix factorization, which decomposes the input non-negative matrix into product of two non-negative matrices, has been widely used in the neuroimaging field due to its flexible ...
DynaSim is an open-source MATLAB/GNU Octave toolbox for rapid prototyping of neural models and batch simulation management. It is designed to speed up and simplify the process of generating, sharing, ...
Abstract: In this paper we present a programming language for writing programs for matrices operations, such as addition, subtraction, multiplication, determinant, inverse and cofactors and so on.