Title | ||
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Computational performance of ultra-high-resolution capability in the Community Earth System Model |
Abstract | ||
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With the fourth release of the Community Climate System Model, the ability to perform ultra-high-resolution climate simulations is now possible, enabling eddy-resolving ocean and sea-ice models to be coupled to a finite-volume atmosphere model for a range of atmospheric resolutions. This capability was made possible by enabling the model to use large scale parallelism, which required a significant refactoring of the software infrastructure. We describe the scalability of two ultra-high-resolution coupled configurations on leadership class computing platforms. We demonstrate the ability to utilize over 30,000 processor cores on a Cray XT5 system and over 60,000 cores on an IBM Blue Gene/P system to obtain climatologically relevant simulation rates for these configurations. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1177/1094342012436965 | IJHPCA |
Keywords | Field | DocType |
sea-ice model,ibm blue gene,atmospheric resolution,computational performance,community climate,p system,climatologically relevant simulation rate,cray xt5 system,ultra-high-resolution capability,ultra-high-resolution climate simulation,community earth system model,finite-volume atmosphere model,system model,sea ice,system modeling,community climate system model,climate model,high resolution,atmospheric modeling,finite volume | Climate model,Computer science,Atmospheric model,Software,Community Climate System Model,Cray XT5,Code refactoring,Multi-core processor,Distributed computing,Scalability | Journal |
Volume | Issue | ISSN |
26 | 1 | 1094-3420 |
Citations | PageRank | References |
22 | 1.38 | 14 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
John M. Dennis | 1 | 241 | 39.70 |
Mariana Vertenstein | 2 | 84 | 7.17 |
Patrick H. Worley | 3 | 488 | 101.02 |
Arthur A. Mirin | 4 | 130 | 15.38 |
Anthony P. Craig | 5 | 74 | 6.10 |
Robert Jacob | 6 | 70 | 5.64 |
Sheri Mickelson | 7 | 22 | 2.06 |