A High-Efficient Scalable Solver for the Global Ocean/Sea-Ice Model MPIOM ...
This paper presents the work of the "Scalable-Earth-System-Models for high productivity climate simulations" project in improving the linear solver of the barotropic sub-system in the global ocean/sea-ice model MPIOM developed by the Max-Planck-Institute in Hamburg, Germany. We demonstrate...
Main Authors: | , , |
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Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
University Library Heidelberg
2011
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Subjects: | |
Online Access: | https://dx.doi.org/10.11588/emclpp.2011.02.11696 http://journals.ub.uni-heidelberg.de/index.php/emcl-pp/article/view/11696 |
Summary: | This paper presents the work of the "Scalable-Earth-System-Models for high productivity climate simulations" project in improving the linear solver of the barotropic sub-system in the global ocean/sea-ice model MPIOM developed by the Max-Planck-Institute in Hamburg, Germany. We demonstrate the implementation of the conjugate gradient method and an incomplete Cholesky preconditioner with fill-in p in order to achieve high scalability and performance on an IBM POWER6 based supercomputer. Benchmarks of the new solver compared to the traditionally used Successive-Over-Relaxation-Method are given and analyzed with respect to the number of iterations and runtime. ... |
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