Design and performance of a scalable parallel community climate model
Parallel Computing - Special issue: climate and weather modeling
The IFS model: a parallel production weather code
Parallel Computing - Special issue: climate and weather modeling
Parallel Algorithms for the Spectral Transform Method
SIAM Journal on Scientific Computing
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ACM SIGPLAN Fortran Forum
Performance tuning and evaluation of a parallel community climate model
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Proceedings of the 2002 ACM/IEEE conference on Supercomputing
A Scalable Implementation of a Finite-Volume Dynamical Core in the Community Atmosphere Model
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International Journal of High Performance Computing Applications
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International Journal of High Performance Computing Applications
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SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
The implementation of the finite-volume dynamical core in the community atmosphere model
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International Journal of High Performance Computing Applications
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ACM Transactions on Mathematical Software (TOMS)
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Proceedings of the 2008 ACM/IEEE conference on Supercomputing
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Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis
Improving the performance scalability of the community atmosphere model
International Journal of High Performance Computing Applications
CAM-SE: A scalable spectral element dynamical core for the Community Atmosphere Model
International Journal of High Performance Computing Applications
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Community models for global climate research, such as the Community Atmospheric Model, must perform well on a variety of computing systems. Supporting diverse research interests, these computationally demanding models must be efficient for a range of problem sizes and processor counts. In this paper we describe the data structures and associated infrastructure developed for the physical parameterizations that allow the Community Atmospheric Model to be tuned for vector or non-vector systems, to provide load balancing while minimizing communication overhead, and to exploit the optimal mix of distributed Message Passing Interface (MPI) processes and shared OpenMP threads.