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Parallel Optimisation Strategies for Fusion Codes

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Author

  • Adrian Jackson
  • Fiona Reid
  • Stephen Booth
  • Joachim Hein
  • Jan Westerholm
  • Mats Aspnäs
  • Miquel Catala
  • Alejandro Soba

Editor

  • Yiannis Cotronis
  • Marco Danelutto
  • George Angelos Papadopoulos

Summary, in English

We have previously documented the on-going work in the EUFORIA project to parallelise and optimise European fusion simulation codes, see. This involves working with a wide range of codes to try and address any performance and scaling issues that these codes have. However, as no two simulation codes are exactly the same, it is very hard to apply exactly the same approach to optimising a disparate range of codes. Indeed, it can be seen from that the codes investigated range in terms of performance and ability from well-optimised, highly parallelised codes, to serial or poorly performing codes. After analysing, optimising, and parallelising a range of codes it is, actually, possible to discern a number of distinct optimisation techniques or approaches/strategies that can be used to improve the performance or scaling of a parallel simulation code. This paper outlines the distinct approaches that we have identified, highlighting their benefits and drawbacks, giving an overview of the type of work that is often attempted for fusion simulation code optimisation.

Publishing year

2011

Language

English

Pages

357-364

Publication/Series

Parallel, Distributed and Network-Based Processing (PDP), 2011 19th Euromicro International Conference on

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Mathematics

Keywords

  • optimisation
  • fusion
  • HPC
  • parallelisation

Conference name

19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2011)

Conference date

2011-02-09 - 2011-02-11

Conference place

Ayia Napa, Cyprus

Status

Published

ISBN/ISSN/Other

  • ISBN: 9781424496822 (print)