Compressed Multirow Storage Format for Sparse Matrices on Graphics Processing Units

DOI10.1137/120900216zbMath1296.65069arXiv1203.2946OpenAlexW3101779959MaRDI QIDQ2875022

Łukasz Mirosław, Maciej Matyka, Sebastian Szkoda, Zbigniew Koza

Publication date: 13 August 2014

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

Full work available at URL: https://arxiv.org/abs/1203.2946

zbMATH Keywords

algorithmsparse matricessparse matrix-vector productgraphics processing unitshardware acceleratorscompressed row storage formatCRS formatCSR format

Mathematics Subject Classification ID

Computational methods for sparse matrices (65F50) Numerical algorithms for specific classes of architectures (65Y10)

Related Items (3)

A Task-Scheduling Approach for Efficient Sparse Symmetric Matrix-Vector Multiplication on a GPU ⋮ A Factored Sparse Approximate Inverse Preconditioned Conjugate Gradient Solver on Graphics Processing Units ⋮ Efficient CSR-based sparse matrix-vector multiplication on GPU

Uses Software

• CUDA
• SparseMatrix
• CUSP

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