GitHub

ProgrammingTutorial/math208-project-4-sparse-matrix-solved

Implement appropriate data structures to support efficient operations on sparse matrices. The operations should at least include addition (subtraction) and multiplication of matrices. 2 Input Provide ...
GitHub

Sparse Matrix Computations in CUDA

This project implements various sparse matrix computations in CUDA and C++. It includes conversion routines between sparse matrix formats and efficient CUDA kernels for Sparse Matrix-Vector ...
IEEE

Sparse Matrix

This chapter examines the seven variants of sparse matrices implemented in the Scipy library. These seven variants include: coordinate sparse matrix, compressed sparse column matrix, compressed sparse ...
IEEE

Exploiting Tensor Cores in Sparse Matrix-Multivector Multiplication via Block-Sparsity-Aware Clustering

Abstract: Sparse Matrix-Multivector (SpMM) multiplication is a key kernel for deep learning models and scientific computing applications. However, achieving high performance for SpMM on GPUs is ...