UnSNAP: A Mini-App for Exploring the Performance of Deterministic Discrete Ordinates Transport on Unstructured Meshes

Tom Deakin, Simon McIntosh-Smith, Justin Lovegrove, Richard Smedley-Stevenson, Andrew Hagues

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

3 Citations (Scopus)
281 Downloads (Pure)

Abstract

Solving the deterministic discrete ordinates neutral particle transport equation is a computationally expensive application. On an unstructured mesh, the discontinuous Galerkin finite element method is used for discretisation of the spatial domain. Additionally, an upwind dependency is applied forming wavefront sweeps across the spatial mesh for each iteration of the solve. We present a new mini-app, UnSNAP, which can be used to investigate the performance of arbitrarily high-order finite element unstructured transport on modern architectures. A new schedule appropriate for such architectures is presented. Finally, we show performance results for the mini-app on CPUs with high numbers of cores.
Original languageEnglish
Title of host publicationWorkshop of Representative Applications (WRAp) 18 at 2018 IEEE International Conference on Cluster Computing (CLUSTER 2018)
PublisherIEEE Computer Society
Pages598-606
Number of pages9
ISBN (Electronic)9781538683194
ISBN (Print)9781538683200
DOIs
Publication statusE-pub ahead of print - 1 Nov 2018

Publication series

Name
ISSN (Print)1552-5244

Keywords

  • deterministic discrete ordinates transport
  • finite element
  • discontinuous Galerkin
  • sweep
  • unstructured mesh

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