GPU-Accelerated Sparse Matrix-Matrix Multiplication by Iterative Row Merging

DOI10.1137/130948811zbMath1327.65090OpenAlexW1973918431MaRDI QIDQ3454845

Andreas Höfter, Lars Ole Schwen, Fabian Kiessling, Uwe Naumann, Felix Gremse

Publication date: 27 November 2015

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/130948811

zbMATH Keywords

algebraic multigridGPU programmingsparse matrix-matrix multiplicationfluorescence-mediated tomography

Mathematics Subject Classification ID

Computational methods for sparse matrices (65F50) Finite difference methods for initial value and initial-boundary value problems involving PDEs (65M06) Complexity and performance of numerical algorithms (65Y20)

Related Items

Memory-Efficient Sparse Matrix-Matrix Multiplication by Row Merging on Many-Core Architectures ⋮ Reducing Communication Costs for Sparse Matrix Multiplication within Algebraic Multigrid ⋮ SpGEMM ⋮ ViennaCL---Linear Algebra Library for Multi- and Many-Core Architectures ⋮ Exploiting Multiple Levels of Parallelism in Sparse Matrix-Matrix Multiplication

Uses Software

• BoomerAMG
• CUDA
• SparseMatrix
• CUSP
• CUSPARSE