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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 101
PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING Edited by:
Paper 48
Multigrid using Adaptive Unstructured Meshes for Massively Parallel Computation H. Digonnet
CEMEF, CNRS UMR 7635, Sophia Antipolis, France H. Digonnet, "Multigrid using Adaptive Unstructured Meshes for Massively Parallel Computation", in , (Editors), "Proceedings of the Third International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 48, 2013. doi:10.4203/ccp.101.48
Keywords: massively parallel computation, unstructured mesh adaptation, multigrid.
Summary
This paper presents research to make
massively parallel computations efficient for up to 8192 cores using unstructured
meshes. While most massively parallel computations are performed subject to
algorithmic constraints such as regular or structured grids it is less
common to see massively parallel computation with adaptive unstructured
meshes. Here the parallelization of the main components
used to realize very large simulations of upto 10 billions of unknowns is presented
using a muligrid method over unstructured mesh. First
the strategy used to generate the computational meshes used during
the multigrid resolution of a large linear systems is presented. Then
the computation of the interpolation or restriction operators is considered. Finally
some parallel performance indicators of the multigrid method for solving
Stokes equation on a large range of cores from 1 to 8192 cores is presented. These indicators
were from simulations completed on one the French national super computers Curie.
In the last section a calculation completed on our own cluster using only 128
cores, is presented. This represents well, what has to be realized at a larger scale.
It goes from reality to virtual, the micro structure used in the computation
is a real one and it is used in our simulation, for doing that all
the calculation
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