Multifrontal Computations on GPUs and Their Multi-core Hosts

DOI10.1007/978-3-642-19328-6_9zbMath1323.65136OpenAlexW1509453182MaRDI QIDQ3081345

Roger. G. Grimes, Robert F. Lucas, Dan Davis, Gene Wagenbreth

Publication date: 8 March 2011

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-19328-6_9

zbMATH Keywords

GPU accelerationGPGPUMCAEmultifrontal algorithms

Mathematics Subject Classification ID

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

Related Items (3)

Performance models and workload distribution algorithms for optimizing a hybrid CPU-GPU multifrontal solver ⋮ GPU acceleration for FEM-based structural analysis ⋮ Sparse Cholesky factorization on FPGA using parameterized model

Uses Software

• BLAS

Cites Work

• Parallel implementation of multifrontal schemes
• The Multifrontal Solution of Indefinite Sparse Symmetric Linear
• Parallel Algorithms for Sparse Linear Systems
• The influence of relaxed supernode partitions on the multifrontal method
• A set of level 3 basic linear algebra subprograms

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