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Numerical solution of PDEs with hybrid and heterogeneous computing models

Markus Hegland
OPL
OPL Research Report, 2011

@article{hegland2011numerical,

   title={Numerical solution of PDEs with hybrid and heterogeneous computing models},

   author={Hegland, M.},

   year={2011}

}

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This study is a first part of a longer project investigating hybrid and heterogeneous computing models in computational science. This is joint work with Fujitsu Laboratories Europe (FLE) with the purpose of developing numerical software libraries under the Open Petascale Libraries Project. We overview some current work and trends relating to petascale algorithms and their implementation in two application areas. The focus here is on the solution of partial differential equations. The work is aligned with the Work Package 4 of the OPL project Enabling Technologies for Large-Scale PDE-Based Simulations. We consider mostly initial value problems arising in computational fluid dynamics (tsunami modelling), plasma physics (fusion reactor modelling) and other domains. We discuss the mathematical technology which underlies scalability. Approaches discussed should include domain decomposition and subspace correction methods, iterative Krylov solvers, extrapolation and combination techniques, multiscale approximations and adaptive approximation. For all the studied algorithms, earlier work regarding their scalability and implementations will be reviewed and their limitations will be described. In the following we will provide a review of the literature on algorithms including a discussion of their scalability and limitations.
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