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Running simultaneous Kepler sessions for the parallelization of parametric scans and optimization studies applied to complex workflows
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2016 (English)In: Procedia Computer Science, Elsevier, 2016, 690-699 p.Conference paper (Refereed)
Abstract [en]

In this paper we present an approach taken to run multiple Kepler sessions at the same time. This kind of execution is one of the requirements for Integrated Tokamak Modelling platform developed by the Nuclear Fusion community within the context of EUROFusion project [2]. The platform is unique and original: it entails the development of a comprehensive and completely generic tokamak simulator including both the physics and the machine, which can be applied for any fusion device. All components are linked inside work ows. This approach allows complex coupling of various algorithms while at the same time provides consistency. Work ows are composed of Kepler and Ptolemy II elements as well as set of the native libraries written in various languages (Fortran, C, C++). In addition to that, there are Python based components that are used for visualization of results as well as for pre/post processing. At the bottom of all these components there is a database layer that may vary between software releases, and require di erent version of access libraries. The community is using shared virtual research environment to prepare and execute work ows. All these constraints make running multiple Kepler sessions really challenging. However, ability to run numerous sessions in parallel is a must - to reduce computation time and to make it possible to run released codes while working with new software at the same time. In this paper we present our approach to solve this issue and examples that show its correctness. © The Authors. Published by Elsevier B.V.

Place, publisher, year, edition, pages
Elsevier, 2016. 690-699 p.
Keyword [en]
Kepler, Parallel execution, Parametric scan, Computer programming, Libraries, Tokamak devices, Complex workflows, Complex-coupling, Optimization studies, Parallel executions, Software release, Virtual research environment, C++ (programming language)
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-195134DOI: 10.1016/j.procs.2016.05.362ScopusID: 2-s2.0-84978496614OAI: oai:DiVA.org:kth-195134DiVA: diva2:1044830
Conference
International Conference on Computational Science, ICCS 2016, 6 June 2016 through 8 June 2016
Note

Conference Paper. QC 20161107

Available from: 2016-11-07 Created: 2016-11-02 Last updated: 2016-11-07Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
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  • de-DE
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Output format
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