As the sparsity increases the execution time also increases. So it is good to use the triplet representation of matrix to do the addition when the sparsity value is less and matrix size is big.

While adding two sparse matrices is a common operation in Matlab, Python, Intel MKL, and various GraphBLAS libraries, these implementations do not perform well when adding a large collection of sparse ...

We develop a family of parallel algorithms for the SpKAdd operation that adds a collection of k sparse matrices. SpKAdd is a much needed operation in many applications including distributed memory ...

HW2.2 SPARSE MATRIX ADDITION by Viktor Dahbura Created: 09/26/2016 -About: This program adds two sparse matrices by using both C++ arrays and doubly linked-lists to store matrix data.

A new algorithm for reducing the bandwidth and profile of a sparse matrix is described. Extensive testing on finite element matrices indicates that the algorithm typically produces bandwidth and ...

Researchers at MIT's Computer Science & Artificial Intelligence Lab (CSAIL) have open-sourced Multiply-ADDitioN-lESS (MADDNESS), an algorithm that speeds up machine learning using approximate ...

Learn what are the benefits and limitations of using sparse matrices in numerical linear algebra, and how to handle them efficiently and accurately.