Parallel Computation of Stochastic Groundwater Flow

Keese, Andreas; Matthies, Hermann G.

If a stochastic model is used to describe uncertainties, the physical system may be described by a stochastic partial differential equation (SPDE). A discretisation by a Galerkin ansatz with tensor-products of finite element functions and stochastic ansatz functions yields a large system of equations that can be efficiently solved by iterative methods. Due to its sheer size, parallel techniques are required, and we have implemented a ``hierarchical parallel solver'' for this: our solver uses a (possibly parallel) deterministic solver for the spatial discretisation. Coarser grained levels of parallelism are implemented by distributing the unknowns over the processors and by running different instances of the (possibly parallel) deterministic solver in parallel.

Vorschau

Zitieren

Zitierform:

Keese, Andreas / Matthies, Hermann: Parallel Computation of Stochastic Groundwater Flow. Braunschweig 2003. Institut für Wissenschaftliches Rechnen.

Zugriffsstatistik

Gesamt:
Volltextzugriffe:
Metadatenansicht:
12 Monate:
Volltextzugriffe:
Metadatenansicht:

Details anzeigen

Rechte

Nutzung und Vervielfältigung:
Alle Rechte vorbehalten

Export