Parallel performance of h-type Adaptive Mesh Refinement for Nek5000

Adam Peplinski, Paul F. Fischer, Philipp Schlatter

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We discuss parallel performance of h-type Adaptive Mesh Refinement (AMR) developed for the high-order spectral element solver Nek5000 within CRESTA project. AMR is a desired feature of the future simulation software, as it gives possibility to increase the accuracy of numerical simulations at minimal computational cost by resolving particular region of the domain. At the same time it increases complexity of the communication pattern and introduces load imbalance, that can have negative effect on the code scalability. In this work we concentrate on the parallel performance of different tools required by AMR and the resulting algorithm limitations. Our implementation is based on available libraries for parallel mesh management (p4est) and partitioning (ParMetis) that provide necessary information for grid refinement/coarsening and redistribution performed within nonconforming version of Nek5000. For simplicity we consider advection-diffusion problem instead of the full Navies-Stokes equations and study both strong and weak scalability for the convected-cone problem. It is a synthetic test case allowing to test AMR with frequent dynamic mesh adjustments.

Original languageEnglish (US)
Title of host publicationProceedings of the 2016 Exascale Applications and Software Conference, EASC 2016
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450341226
StatePublished - Apr 26 2016
Event2016 Exascale Applications and Software Conference, EASC 2016 - Stockholm, Sweden
Duration: Apr 25 2016Apr 29 2016

Publication series

NameACM International Conference Proceeding Series


Other2016 Exascale Applications and Software Conference, EASC 2016


  • Large-scale scientific computing
  • Nonconforming methods
  • Parallel adaptive mesh refinement
  • Spectral elements

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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