Parallel Reconstruction of Three Dimensional Magnetohydrodynamic Equilibria in Plasma Confinement Devices

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Abstract

Fast, accurate three dimensional reconstructions of plasma equilibria, crucial for physics interpretation of fusion data generated within confinement devices like stellarators/ tokamaks, are computationally very expensive and routinely require days, even weeks, to complete using serial approaches. Here, we present a parallel implementation of the three dimensional plasma reconstruction code, V3FIT. A formal analysis to identify the performance bottlenecks and scalability limits of this new parallel implementation, which combines both task and data parallelism, is presented. The theoretical findings are supported by empirical performance results on several thousands of processor cores of a Cray XC30 supercomputer. Parallel V3FIT is shown to deliver over 40X speedup, enabling fusion scientists to carry out three dimensional plasma equilibrium reconstructions at unprecedented scales in only a few hours (instead of in days/weeks) for the first time.

Original languageEnglish
Title of host publicationProceedings - 46th International Conference on Parallel Processing, ICPP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages282-291
Number of pages10
ISBN (Electronic)9781538610428
DOIs
StatePublished - Sep 1 2017
Event46th International Conference on Parallel Processing, ICPP 2017 - Bristol, United Kingdom
Duration: Aug 14 2017Aug 17 2017

Publication series

NameProceedings of the International Conference on Parallel Processing
ISSN (Print)0190-3918

Conference

Conference46th International Conference on Parallel Processing, ICPP 2017
Country/TerritoryUnited Kingdom
CityBristol
Period08/14/1708/17/17

Funding

This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). This material is based upon work supported by the U.S. Department of Energy, Office of Fusion Energy Sciences under contract number DE-AC05-00OR22725. This research used resources at the Oak Ridge Leadership Computing Facility, a DOE Office of Science User Facility operated by the Oak Ridge National Laboratory.

FundersFunder number
LLC
Office of Fusion Energy SciencesDE-AC05-00OR22725
UT-Battelle
U.S. Department of Energy

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