Performance Portability in the Physical Parameterizations of the Community Atmosphere Model
Journal Article
·
· International Journal of High Performance Computing Applications
OSTI ID:1003608
- ORNL
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 (CAM3) to be tuned for vector or nonvector systems, to provide load balancing while minimizing communication overhead, and to exploit the optimal mix of distributed MPI processes and shared OpenMP threads.
- Research Organization:
- Oak Ridge National Laboratory (ORNL); Center for Computational Sciences
- Sponsoring Organization:
- SC USDOE - Office of Science (SC)
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1003608
- Journal Information:
- International Journal of High Performance Computing Applications, Journal Name: International Journal of High Performance Computing Applications Journal Issue: 3 Vol. 19
- Country of Publication:
- United States
- Language:
- English
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