Parallelization of a level set method for simulating dendritic growth

Kai Wang, Anthony Chang, Laxmikant V. Kale, Jonathan A. Dantzig

Research output: Contribution to journalArticlepeer-review


Processor virtualization is a parallelization technique that may be used to enhance the performance of parallel applications through the improvement of cache performance, overlapping of communication and computation. In this study, we use the processor virtualization technique to parallelize the level set method for solving solidification problems. Numerical results on a distributed memory machine are reported to show the performance of the resulting level set solver, and demonstrate the advantages of using processor virtualization.

Original languageEnglish (US)
Pages (from-to)1379-1386
Number of pages8
JournalJournal of Parallel and Distributed Computing
Issue number11
StatePublished - Nov 2006


  • AMPI
  • Level set methods
  • MPI
  • Processor virtualization
  • Solidification

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence


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