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Fully parallel mesh I/O using Petsc dmplex with an application to waveform modeling

  • Vaclav Hapla
  • , Matthew G. Knepley
  • , Michael Afanasiev
  • , Christian Boehm
  • , Martin V.A.N. Driel
  • , Lion Krischer
  • , Andreas Fichtner
  • Swiss Federal Institute of Technology Zurich
  • Mondaic AG

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Large-scale PDE simulations using high-order finite-element methods on unstructured meshes are an indispensable tool in science and engineering. The widely used open-source PETSc library offers an efficient representation of generic unstructured meshes within its DMPlex module. This paper details our recent implementation of parallel mesh reading and topological interpolation (computation of edges and faces from a cell-vertex mesh) into DMPlex. We apply these developments to seismic wave propagation scenarios on Mars as an example application. The principal motivation is to overcome single-node memory limits and reach mesh sizes which were impossible before. Moreover, we demonstrate that scalability of I/O and topological interpolation goes beyond 12,000 cores, and memory-imposed limits on mesh size vanish.

Original languageEnglish
Pages (from-to)C127-C153
JournalSIAM Journal on Scientific Computing
Volume43
Issue number2
DOIs
StatePublished - Mar 11 2021

Keywords

  • DMPlex
  • Directed acyclic graph
  • PETSc
  • Parallel I/O
  • Partitioning
  • Seismic waveform modeling
  • Spectral-element method
  • Topological interpolation
  • Unstructured mesh

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