Multi-GPU implementation of the NICAM atmospheric model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7640 LNCS, Issue , 2013, Pages 175-184

  Demeshko, Irina ^a   Maruyama, Naoya ^b   Tomita, Hirofumi ^b   Matsuoka, Satoshi ^a  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

^b RIKEN   (Japan)

Author keywords

climate simulations; CUDA Fortran; GPU computations; nonhydrostatic model

Indexed keywords

ATMOSPHERIC MODEL; CLIMATE SIMULATION; CUDA FORTRANS; EFFICIENT IMPLEMENTATION; GPU COMPUTATION; GPU IMPLEMENTATION; HIGH PERFORMANCE COMPUTING (HPC); MULTI-GPU; NON-HYDROSTATIC; NONHYDROSTATIC MODEL; PERFORMANCE MODEL;

COMPUTER SIMULATION; PROGRAM PROCESSORS;

CLIMATE MODELS;

EID: 84874427444     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-36949-0_20     Document Type: Conference Paper

References (15)

1. Satoh, M., Matsuno, T., Tomita, H., Miura, H., Nasuno, T., Iga, S.: Nonhydrostatic Icosahedral Atmospheric Model (NICAM) for global cloud resolving simulations. Journal of Computational Physics, The Special Issue on Predicting Weather, Climate and Extreme events 227, 3486-3514 (2007)
2. Michalakes, J., Vachharajani: GPU acceleration of numerical weather prediction. In: IPDPS, pp. 1-7. IEEE (2008)
3. COSMO-model (2012), http://www.cosmo-model.org/
4. Govett, M.W., Middlecoff, J., Henderson, T.: Running the NIM next-generation weather model on GPUs. In: Proc. 10th IEEE/ACM Int. Conf. Cluster, Cloud and Grid Computing, CCGrid, pp. 792-796 (2010)
5. Vu, V.T., Cats, G., Wolters, L.: GPU acceleration of the dynamics routine in the HIRLAM weather forecast model. In: HPCS 2010, pp. 31-38. IEEE (2010)
6. Shimokawabe, T., Aoki, T., Muroi, C., Ishida, J., Kawano, K., Endo, T., Nukada, A., Maruyama, N., Matsuoka, S.: An 80-Fold Speedup, 15.0 TFlops, Full GPU Acceleration of Non-Hydrostatic Weather Model ASUCA Production Code. In: The 2010 ACM/IEEE Conference on Supercomputing, SC 2010, pp. 1-11 (2010)
7. Putnam, W: Graphics Processing Unit (GPU) Acceleration of the Goddard Earth Observing System Atmospheric Model. NASA Technical Report, Goddard Space Flight Center (2011), http://ntrs.nasa.gov/search.jsp?R=20120009084/
8. Wang, Z., Xu, X., Xiong, N., Yang, L.T., Zhao, W.: GPU Acceleration for GRAPES Meteorological Model. In: 2011 IEEE 13th International Conference on High Performance Computing and Communications, HPCC, pp. 365-372 (2011)
9. Demeshko, I., Matsuoka, S., Maruyama, N., Tomita, H.: Ultra-high resolution atmospheric global circulation model NICAM on graphics processing unit. In: Proceedings of the 2012 International Conference on Parallel and Distributed Processing Techniques and Applications (2012)
10. Tomita, H., Satoh, M.: A new dynamical framework of nonhydrostatic global model using the icosahedral grid. Fluid Dynamics Research 34, 357-400 (2004)
11. Tomita, H., Tsugawa, M., Satoh, M., Goto, K.: Shallow water model on a modified icosahedral geodesic grid by using spring dynamics. J. Comp. Phys. 174, 579-613 (2001)
12. Satoh, M., Tomita, H., Miura, H., Iga, S., Nasuno, T.: Development of a global cloud resolving model - a multi-scale structure of tropical convections. J. Earth Simulator 3, 11-19 (2005)
13. Toro, E.F.: Shock-Capturing Methods for Free-Surface Shallow Flows, 309 pages. Wiley and Sons Ltd. (2001)
14. NVIDIA Corporation. NVIDIA CUDA Programming Guide, version 4.1 (2012), http://www.nvidia.com/cuda
15. The Scalasca performance toolset (2012), http://www.scalasca.org/