Accelerating Matrix Multiplication with Block Sparse Format and NVIDIA Tensor Cores – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-03T22:20:47Z http://www.open-lab.net/blog/feed/ Takuma Yamaguchi <![CDATA[Accelerating Matrix Multiplication with Block Sparse Format and NVIDIA Tensor Cores]]> http://www.open-lab.net/blog/?p=24706 2023-05-24T00:25:03Z 2021-03-19T16:24:28Z Sparse-matrix dense-matrix multiplication (SpMM) is a fundamental linear algebra operation and a building block for more complex algorithms such as finding the...]]> Sparse-matrix dense-matrix multiplication (SpMM) is a fundamental linear algebra operation and a building block for more complex algorithms such as finding the...

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��

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