Practical performance portability in the Parallel Ocean Program (POP): Research Articles
Concurrency and Computation: Practice & Experience - The High Performance Architectural Challenge: Mass Market versus Proprietary Components?
Overview of the Software Design of the Community Climate System Model
International Journal of High Performance Computing Applications
Performance Portability in the Physical Parameterizations of the Community Atmospheric Model
International Journal of High Performance Computing Applications
A Scalable Implementation of a Finite-Volume Dynamical Core in the Community Atmosphere Model
International Journal of High Performance Computing Applications
A new flexible coupler for earth system modeling developed for CCSM4 and CESM1
International Journal of High Performance Computing Applications
Improving the performance scalability of the community atmosphere model
International Journal of High Performance Computing Applications
An application-level parallel I/O library for Earth system models
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
A scalable barotropic mode solver for the parallel ocean program
Euro-Par'13 Proceedings of the 19th international conference on Parallel Processing
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The Community Earth System Model (CESM), released in June 2010, incorporates new physical process and new numerical algorithm options, significantly enhancing simulation capabilities over its predecessor, the June 2004 release of the Community Climate System Model. CESM also includes enhanced performance tuning options and performance portability capabilities. This paper describes performance and performance scaling on both the Cray XT5 and the IBM BG/P for four representative production simulations, varying both problem size and enabled physical processes. The paper also describes preliminary performance results for high resolution simulations using over 200,000 processor cores, indicating the promise of ongoing work in numerical algorithms and where further work is required.