| Parallel Multi-Physics AMR Applications Using the SAMRAI Library |
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| Andrew Wissink - Center for Applied Scientific Computing, Lawrence Livermore National Lab Richard Hornung - Center for Applied Scientific Computing, Lawrence Livermore National Lab Scott Kohn - Center for Applied Scientific Computing, Lawrence Livermore National Lab Steve Smith - Center for Applied Scientific Computing, Lawrence Livermore National Lab |
This poster will focus on development of parallel Structured Adaptive Mesh Refinement (SAMR) multi-physics applications. Parallel implementation of SAMR algorithms is difficult because of the complex dynamic communication dependencies that arise from adaptive gridding. This complexity is exacerbated by use of different data structures represented in different physics models. The Structured Adaptive Mesh Refinement ^M Applications Infrastructure (SAMRAI) \CC\ framework implements object-oriented techniques to manage the complex communication patterns, load balance, and model interaction that occur in a SAMR algorithm. We present an overview of these utilities, demonstrating their application for a continuum-particle model to study Richtmeyer-Meshkov^M instabilities. Performance results are reported from the IBM ASCI Blue Pacific parallel platform. |