Towards an Efficient and Scalable Discontinuous Galerkin Atmospheric Model
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 13 - Volume 14
International Journal of High Performance Computing Applications
Scalable Parallel Octree Meshing for TeraScale Applications
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
From mesh generation to scientific visualization: an end-to-end approach to parallel supercomputing
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
Mapping with Space Filling Surfaces
IEEE Transactions on Parallel and Distributed Systems
Scaling climate simulation applications on the IBM Blue Gene/L system
IBM Journal of Research and Development
A general method for modeling on irregular grids
International Journal of High Performance Computing Applications
High-Order finite element methods for parallel atmospheric modeling
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
CAM-SE: A scalable spectral element dynamical core for the Community Atmosphere Model
International Journal of High Performance Computing Applications
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Solving partial differential equations arising in geophysical fluid dynamics on distributed memory computers requires partitioning of the computational domain. The partitioning algorithm has a impact on the execution rate of an atmospheric model. The NCAR spectral element model projects a cube onto a sphere. The cube faces are subdivided into an array of quadrilateral spectral element. When the cubed-sphere is partitioned using METIS, both load imbalance and communication requirements leads to sub-optimal performance. Hilbert and Peano space-filling curves are investigated as alternative partitioning algorithms. The resulting partitions allow a 22% increase in execution rate versus METIS on O(1000) processors.