GPU Computing for Atmospheric Modeling: Experience with a Small Kernel and Implications for a Full Model

Computing in Science and Engineering

Volumn 12, Issue 4, 2010, Pages 26-33

  Kelly, Rory ^a  

^a NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85008063764     PISSN: 15219615     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCSE.2010.26     Document Type: Article

References (7)

1. D. Göddeke et al., “GPU Acceleration of an Unmodified Parallel Finite Element Navier-Stokes Solver,” W.W. Smari and J.P. Mclntire, eds., High Performance Computing & Simulation, Logos Verlag, 2009, pp. 12–21.
2. J.C. Thibault and I. Senocak, “CUDA Implementation of a Navier-Stokes Solver on Multi-GPU Desktop Platforms for Incompressible Flows,” Proc. 47th AIAA Aerospace Sciences Meeting, Am. Inst. Aeronautics and Astronautics, 2009, paper no. AIAA 2009–758.
3. V. Simek et al., “Towards Accelerated Computation of Atmospheric Equations Using CUDA,” Proc. 11th Int'l Conf. Modelling and Simulation, IEEE CS Press, 2009; pp. 449–454; http://doi.ieeecomputersociety. org/10.1109/UKSIM.2009.25.
4. J. Michalakes and M. Vachharajani, “GPU Acceleration of Numerical Weather Prediction,” Parallel Processing Letters, vol. 18, no. 4, 2008, pp. 531–548.
5. W.D. Collins et al., “The Formulation and Atmospheric Simulation of the Community Atmosphere Model Version 3 (CAM3),” J. Climate, vol. 19, no. 11, 2006, pp. 2144–2161.
6. W.D. Collins et al., “The Community Climate System Model Version 3 (CCSM3),” J. Climate, vol. 19, no. 11, 2006, pp. 2122–2143.
7. B.P. Briegleb, “Delta-Eddington Approximation for Solar Radiation in the NCAR Community Climate Model,” J. Geophysical Research, vol. 97, no. D7, 1992, pp. 7603–7612.