A novel CSR-based sparse matrix-vector multiplication on GPUs

DOI10.1155/2016/8471283zbMath1400.65071OpenAlexW2318592257WikidataQ59140936 ScholiaQ59140936MaRDI QIDQ1793667

Jiaquan Gao, Guixia He

Publication date: 12 October 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/8471283

Mathematics Subject Classification ID

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

Related Items (2)

GPU-accelerated preconditioned GMRES method for two-dimensional Maxwell's equations ⋮ Efficient CSR-based sparse matrix-vector multiplication on GPU

Uses Software

• ITPACK
• CUDA
• SparseMatrix
• CUSP
• SELL_C_sigma
• yaSpMV

Cites Work

• Unnamed Item
• A brief review of the ITPACK project
• MPI-CUDA sparse matrix-vector multiplication for the conjugate gradient method with an approximate inverse preconditioner
• A Unified Sparse Matrix Data Format for Efficient General Sparse Matrix-Vector Multiplication on Modern Processors with Wide SIMD Units
• The university of Florida sparse matrix collection

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