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Just another WordPress site - Ruhr-Universität Bochum

conference

Efficient parallelization of OpenPhase for massively parallel computers

Marvin Tegeler, Ruhr-Universität Bochum, Bochum, Germany

Oleg Shchyglo, Ruhr-Universität Bochum, Bochum, Germany

Alexander Monas, Ruhr-Universität Bochum, Bochum, Germany

Ingo Steinbach, Ruhr-Universität Bochum, Bochum, Germany

Godehard Sutmann, Forschungszentrum Jülich, Jülich, Germany

Time & Place
  • Date: 23.09.2014
  • Time:
  • Place: Materials Science and Engineering MSE, Darmstadt, Germany

Abstract

Large scale simulations of multiple phase fields require large amounts of memory and computer time. In order to reduce both the CPU time and memory requirements, an efficient implementation of the multi-phase-field library OpenPhase was developed, which tracks the diffuse interface between different phases and stores them in sparse data patterns. Although efficient, large scale simulations of thousands of different phase fields together with the requirement for large computational grids still exceed the capabilities of single node computer architectures.

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