Parallel smoothed aggregation multigrid: aggregation strategies on massively parallel machines
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Multigrid
SIAM Journal on Scientific Computing
BoomerAMG: a parallel algebraic multigrid solver and preconditioner
Applied Numerical Mathematics - Developments and trends in iterative methods for large systems of equations—in memoriam Rüdiger Weiss
hypre: A Library of High Performance Preconditioners
ICCS '02 Proceedings of the International Conference on Computational Science-Part III
Coarse-Grid Selection for Parallel Algebraic Multigrid
IRREGULAR '98 Proceedings of the 5th International Symposium on Solving Irregularly Structured Problems in Parallel
Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
An Algebraic Multigrid Method for a Class of Elliptic Differential Systems
SIAM Journal on Scientific Computing
Pursuing scalability for hypre's conceptual interfaces
ACM Transactions on Mathematical Software (TOMS) - Special issue on the Advanced CompuTational Software (ACTS) Collection
An Introduction to Algebraic Multigrid
Computing in Science and Engineering
2LEV-D2P4: a package of high-performance preconditioners for scientific and engineering applications
Applicable Algebra in Engineering, Communication and Computing
Aggregation AMG for distributed systems suffering from large message numbers
Euro-Par'10 Proceedings of the 16th international Euro-Par conference on Parallel processing: Part II
Efficient Parallel AMG Methods for Approximate Solutions of Linear Systems in CFD Applications
SIAM Journal on Scientific Computing
An Algebraic Multigrid Method with Guaranteed Convergence Rate
SIAM Journal on Scientific Computing
Efficient setup of aggregation AMG for CFD on GPUs
PARA'12 Proceedings of the 11th international conference on Applied Parallel and Scientific Computing
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We examine the performance in terms of computing time of different parallel AMG algorithms that are applied within the context of industrial computational fluid dynamics (CFD) problems. We give an overview over the most important classes of algorithms described in literature, pick out four fundamentally different algorithms and perform numerical experiments on up to 16 processors with two benchmarks representing an important class of CFD-problems. The results indicate that aggregation-based algorithms have advantages compared to algorithms based on the concept of C-F-splitting.