Temporal parallelization of edge plasma simulations using the parareal algorithm and the SOLPS code

Samaddar, Debasmita; Coster, D. P.; Bonnin, X.; Bergmeister, Christoph; Havlíc̆ková, E.; Berry, Lee Alan; Elwasif, Wael R.; Batchelor, Donald B.

doi:10.1016/j.cpc.2017.07.012

Temporal parallelization of edge plasma simulations using the parareal algorithm and the SOLPS code

Journal Article · Mon Jul 31 00:00:00 EDT 2017 · Computer Physics Communications

DOI:https://doi.org/10.1016/j.cpc.2017.07.012· OSTI ID:1407738

Samaddar, Debasmita ^[1]; Coster, D. P. ^[2]; Bonnin, X. ^[3]; Bergmeister, Christoph ^[1]; Havlíc̆ková, E. ^[4]; Berry, Lee Alan ^[5]; ^[5]; Batchelor, Donald B. ^[5]

Culham Science Centre, Abingdon, Oxon (United Kingdom). Culham Centre for Fusion Energy (CCFE)
Max-Planck-Inst. fur Plasmaphysik, Garching (Germany)
Centre National de la Recherche Scientifique (CNRS), Villetaneuse (France). Laboratoire des Sciences des Procedes et des Materiaux (LSPM)
Culham Science Centre, Abingdon, Oxon (United Kingdom). Culham Centre for Fusion Energy (CCFE); ITER Organization, St. Paul Lez Durance (France)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

We show that numerical modelling of edge plasma physics may be successfully parallelized in time. The parareal algorithm has been employed for this purpose and the SOLPS code package coupling the B2.5 finite-volume fluid plasma solver with the kinetic Monte-Carlo neutral code Eirene has been used as a test bed. The complex dynamics of the plasma and neutrals in the scrape-off layer (SOL) region makes this a unique application. It is demonstrated that a significant computational gain (more than an order of magnitude) may be obtained with this technique. The use of the IPS framework for event-based parareal implementation optimizes resource utilization and has been shown to significantly contribute to the computational gain.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1407738

Journal Information:: Computer Physics Communications, Journal Name: Computer Physics Communications Journal Issue: C Vol. 221; ISSN 0010-4655

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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