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EXAHD: An Exa-scalable Two-Level Sparse Grid Approach for Higher-Dimensional Problems in Plasma Physics and Beyond

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8806)

Abstract

High-dimensional problems pose a challenge for tomorrow’s supercomputing. Problems that require the joint discretization of more dimensions than space and time are among the most compute-hungry ones and thus standard candidates for exascale computing and even beyond. This project tackles such problems by a hierarchical extrapolation approach, the sparse grid combination technique. The method not only enables their treatment in the first place. The hierarchical approach also provides novel ways to deal with central problems in high-performance computing such as scalability and resilience: Global communication can be avoided and reduced to a small subset, and faults can be compensated for without the need for recomputations or checkpoint-restart. As an exemplary prototype for high-dimensional problems, turbulence simulations in plasma physics are studied.

Keywords

Partial Solution Sparse Grid Combination Technique Turbulence Simulation Subspace Reduce 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Institute for Parallel and Distributed SystemsUniversity of StuttgartGermany
  2. 2.Scientific ComputingTechnische Universität MünchenGermany
  3. 3.Institute for Numerical SimulationUniversity of BonnGermany
  4. 4.Max Planck Institute for Plasma PhysicsGermany
  5. 5.Computing Centre of the Max Planck Society and the MPI for Plasma PhysicsGermany

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