... | @@ -33,7 +33,7 @@ minimal communication then translates to the optimization problem of |
... | @@ -33,7 +33,7 @@ minimal communication then translates to the optimization problem of |
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finding a graph partitioning where each group contains the same sum of
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finding a graph partitioning where each group contains the same sum of
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weights, and the sum of the cut edges is minimal (_Find optimal decomposition_). As final step
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weights, and the sum of the cut edges is minimal (_Find optimal decomposition_). As final step
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the decomposition can be post-process further more to be for optimal, based on factors not considered by the optimization process, like merging vertex, or merging sub-sub-domain, to create bigger sub-domains.
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the decomposition can be post-process further more to be for optimal, based on factors not considered by the optimization process, like merging vertex, or merging sub-sub-domain, to create bigger sub-domains.
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Even if a model decomposition it is not bind to a graph model it is true that until now is the main approach
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Even if a model decomposition it is not bind to a graph model it is true that until now it is the main approach
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* [CartDecomposition](http://ppmcore.mpi-cbg.de/doxygen/openfpm_pdata/classCartDecomposition.html)
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* [CartDecomposition](http://ppmcore.mpi-cbg.de/doxygen/openfpm_pdata/classCartDecomposition.html)
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