Sparse Matrix-Vector Multiplication on GPGPUs

DOI10.1145/3017994zbMath1380.65079OpenAlexW2570841452WikidataQ113310143 ScholiaQ113310143MaRDI QIDQ3133580

Alessandro Fanfarillo, Davide Barbieri, Salvatore Filippone, Valeria Cardellini

Publication date: 5 February 2018

Published in: ACM Transactions on Mathematical Software (Search for Journal in Brave)

Full work available at URL: http://dspace.lib.cranfield.ac.uk/handle/1826/11636

zbMATH Keywords

sparse matricesGPU programming

Mathematics Subject Classification ID

Computational methods for sparse matrices (65F50) Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.) (68Q10)

Related Items (10)

Decomposition in multidimensional Boolean-optimization problems with sparse matrices ⋮ GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU ⋮ Efficient Algebraic Multigrid Preconditioners on Clusters of GPUs ⋮ The spectral cell method for wave propagation in heterogeneous materials simulated on multiple GPUs and CPUs ⋮ Exploiting spatial symmetries for solving Poisson's equation ⋮ GPU-based matrix-free finite element solver exploiting symmetry of elemental matrices ⋮ AMG Preconditioners for Linear Solvers towards Extreme Scale ⋮ GPGPU-based parallel computing applied in the FEM using the conjugate gradient algorithm: a review ⋮ A parallel generalized relaxation method for high-performance image segmentation on GPUs ⋮ Dynamic non-local damage analysis using an octree pattern-based massively parallel explicit solver

Uses Software

• ITPACK
• LAPACK
• ScaLAPACK
• UMFPACK
• CUDA
• SparseMatrix
• CUSP
• CUSPARSE
• clSpMV
• MAGMA
• yaSpMV
• moderngpu
• CSR5
• LightSpMV
• BiELL
• CoAdELL
• AdELL

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