Abstract
This paper discusses optimization issues to be addressed in producing a major improvement in the performance of a state-of-the-art general circulation model of the atmosphere on massively parallel computer systems. Our work is based on the UCLA Atmospheric General Circulation Model (AGCM). The UCLA AGCM is a “grid-point model”, which uses a three dimensional staggered grid to compute flow variables around the globe. The current goal is to produce a code that runs at the 50 GFLOP level by early 1998.
We focus on load balancing strategies and single node optimization techniques. The target architecture for the single node optimization is the CRAY T3D. In the near future, the work will be extended to the CRAY T3E. This research is been carried out in the framework of NASA High Performance Computing and Communication program (HPCC).
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Arakawa, A. and Lamb, V. (1977). Computational Design of the Basic Dynamical Processes of the UCLA General Circulation Model. Methods in Comp. Phys., 17:173–265.
Brooks, J. (1995). Single PE Optimization Techniques for the CRAY T3D system. Technical Report Revision 2.0, Cray Research, Inc., Eagan, MN.
Drummond, L. A., Farrara, J. D., Mechoso, C. R., Spahr, J. A., Chao, Y., Katz, D. S., Lou, J. Z., and Wang, P. (1997). Parallel optimized of an earth system model (100 GIGAFLOPS and beyond. To appear in Proceedings from HPC '97, Atlanta.
Lawson, C., Ilanson, R., Kincaid, D., and Krogh, F. (1979). Basic Linear Algebra Subprograms for fortran usage. ACM Transactions on Mathematical Software, 5.
Lou, J. Z. and Farrara, J. D. (1996). Performance analysis and optimization on the ucla parallel atmospheric general circulation model code. In Supercomputing '96.
Mechoso, C. R. (1995). High performance computing and networking for climate research. High Performance Computing and Networking, Lecture Notes in Computer Science, 919:142–147.
Mechoso, C. R., Farrara, J. D., and Spahr, J. A. (1994). Running a climate model in a heterogeneous computer distributed environment. In Press, I. C. S., editor, Third IEEE International Symp. High Performance Distributed Computing (HPDC-3), pages 79–84, San Francisco, California.
Mechoso, C. R., Ma, C.-C., Farrara, J. D., and Spahr, J. A. (1993). Parallelization and Distribution of a Couple Atmosphere-Ocean General Circulation Model. Monthly Weather Review, 121(7):2062–2076.
Mesinger, F. and Arakawa, A., (1976). Numerical methods used in atmospheric models. WMO-ICSU-GARP publication series, I(17).
Wehner, M. F., Mirin, A. A., Eltgroth, P. G., Dannevik, W. P., Mechoso, C. R., Farrara, J., and Spahr, J. A. (1995). Performance of a Distributed Memory Finite-Difference Atmospheric General Circulation Model. Parallel Computing, 21:1655–1675.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1997 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Drummond, L.A., Farrara, J.D., Mechoso, C.R., Lou, J.Z. (1997). Performance optimization of an Atmospheric model in massively parallel computers. In: Hertzberger, B., Sloot, P. (eds) High-Performance Computing and Networking. HPCN-Europe 1997. Lecture Notes in Computer Science, vol 1225. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0031599
Download citation
DOI: https://doi.org/10.1007/BFb0031599
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-62898-9
Online ISBN: 978-3-540-69041-2
eBook Packages: Springer Book Archive
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
