2011 | OriginalPaper | Buchkapitel
On the Performance of an Algebraic Multigrid Solver on Multicore Clusters
verfasst von : Allison H. Baker, Martin Schulz, Ulrike M. Yang
Erschienen in: High Performance Computing for Computational Science – VECPAR 2010
Verlag: Springer Berlin Heidelberg
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Algebraic multigrid (AMG) solvers have proven to be extremely efficient on distributed-memory architectures. However, when executed on modern multicore cluster architectures, we face new challenges that can significantly harm AMG’s performance. We discuss our experiences on such an architecture and present a set of techniques that help users to overcome the associated problems, including thread and process pinning and correct memory associations. We have implemented most of the techniques in a MultiCore SUPport library (MCSup), which helps to map OpenMP applications to multicore machines. We present results using both an MPI-only and a hybrid MPI/OpenMP model.