Accelerating Matrix Multiplication with Block Sparse Format and NVIDIA Tensor Cores

Originally published at: Accelerating Matrix Multiplication with Block Sparse Format and NVIDIA Tensor Cores | NVIDIA Developer Blog

Sparse-matrix dense-matrix multiplication (SpMM) is a fundamental linear algebra operation and a building block for more complex algorithms such as finding the solutions of linear systems, computing eigenvalues through the preconditioned conjugate gradient, and multiple right-hand sides Krylov subspace iterative solvers. SpMM is also an important kernel used in many domains such as fluid dynamics,…