Nothing Special   »   [go: up one dir, main page]

skip to main content
10.5555/762761.762828acmconferencesArticle/Chapter ViewAbstractPublication PagesscConference Proceedingsconference-collections
Article

A 26.58 Tflops global atmospheric simulation with the spectral transform method on the Earth Simulator

Published: 16 November 2002 Publication History

Abstract

A spectral atmospheric general circulation model called AFES (AGCM for Earth Simulator) was developed and optimized for the architecture of the Earth Simulator (ES). The ES is a massively parallel vector supercomputer that consists of 640 processor nodes interconnected by a single stage crossbar network with its total peak performance of 40.96 Tflops. The sustained performance of 26.58 Tflops was achieved for a high resolution simulation (T1279L96) with AFES by utilizing the full 640-node configuration of the ES. The resulting computing efficiency is 64.9% of the peak performance, well surpassing that of conventional weather/climate applications having just 25--50% efficiency even on vector parallel computers. This remarkable performance proves the effectiveness of the ES as a viable means for practical applications.

References

[1]
M. Yokokawa, S. Shingu, S. Kawai, K. Tani, and H. Miyoshi, 1998: "Performance Estimation of the Earth Simulator", Proceedings of 8th ECMWF Workshop, World Scientific, pp. 34--53.
[2]
K. Yoshida, S. Shingu, 2000: "Research and Development of the Earth Simulator", Proceedings of 9th ECMWF Workshop, World Scientific, pp. 1--13.
[3]
H. Uehara, M. Tamura, and M. Yokokawa, 2002: "An MPI Benchmark Program Library and Its Application to the Earth Simulator", LNCS 2327.
[4]
Y. Tanaka, N. Goto, M. Kakei, T. Inoue, Y. Yamagishi, M. Kanazawa, H. Nakamura, 1999: "Parallel Computational Design of NJR Global Climate Models", High Performance Computing ISHPC'99 Proceedings, Springer, pp281--291.
[5]
A. Numaguti, S. Sugata, M. Takahashi, T. Nakajima, and A. Sumi, 1997: "Study on the Climate System and Mass Transport by a Climate Model", CGER's Supercomputer Monograph Report, 3, Center for Global Environmental Research, National Institute for Environmental Studies.
[6]
Cubasch, U., G. A. Meehl, G. J. Boer, R. J. Stouffer, M. Dix, A. Noda, C. A. Senior, S. Raper, K. S. Yap, 2001: Projections of future climate. In "Climate Change 2001: The Scientific Basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change" (Houghton, J. T., Y. Ding, D. J. Griggs, M. Noguer, P. J. van der Linden, X. Dai, K. Maskell and C. A. Johnson, eds.), Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 525--582.
[7]
Gates, W. L., J. Boyle, C. Covey, C. Dease, C. Doutriaux, R. Drach, M. Fiorino, P. Gleckler, J. Hnilo, S. Marlais, T. Phillips, G. Potter, B. Santer, K. Sperber, K. Taylor and D. Williams, 1998: An Overview of the Results of the Atmospheric Model Intercomparison Project (AMIP I ), Bulletin of the American Meteorological Society, 73, pp. 1962--1970.
[8]
Shen, X., M. Kimoto, A. Sumi, A. Numaguti and J. Matsumoto, 2001: Simulation of the 1998 East Asian Summer Monsoon by the CCSR/NIES AGCM. J. Meteorol. Soc. Japan, 79, pp. 741--757.
[9]
C. Temperton, 1983: "Self-Sorting Mixed-Radix Fast Fourier Transform", J. Comp. Phy. 52, pp. 1--23.
[10]
C. Temperton, 1983: "Fast Mixed-Radix Real Fourier Transform", J. Comp. Phy. 52, pp. 340--350.
[11]
T.N. Krishnamurti, H.S. Bedi and V.M. Hardiker, 1998: "An Introduction to Global Spectral Modeling", Oxford University Press.
[12]
I.T. Foster and P.H. Worley, 1997: "Parallel Parallel Algorithms for the Spectral Transform Method", SIAM J. Sci. Stat. Comput 18(3), pp. 806--837.
[13]
J. Drake, I. Foster, J. Michalakes, B. Toonen, P. Worley, 1995: "Design and Performance of a Scalable Parallel Community Climate Model", Parallel Computing 21, pp. 1571--1591.
[14]
S.W. Hammond, R.D. Roft, J.M. Dennis, and R.K. Sato, 1995: "Implementation and Performance Issues of a Massively Parallel Atmospheric Model", Parallel Computing 21, pp. 1593--1619.

Cited By

View all
  • (2016)Refactoring and optimizing the community atmosphere model (CAM) on the sunway taihulight supercomputerProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis10.5555/3014904.3015016(1-12)Online publication date: 13-Nov-2016
  • (2014)High-productivity framework on GPU-rich supercomputers for operational weather prediction code ASUCAProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis10.1109/SC.2014.26(251-261)Online publication date: 16-Nov-2014
  • (2013)A peta-scalable CPU-GPU algorithm for global atmospheric simulationsACM SIGPLAN Notices10.1145/2517327.244251848:8(1-12)Online publication date: 23-Feb-2013
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
SC '02: Proceedings of the 2002 ACM/IEEE conference on Supercomputing
November 2002
952 pages
ISBN:076951524X

Sponsors

Publisher

IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 16 November 2002

Check for updates

Qualifiers

  • Article

Conference

SC '02
Sponsor:

Acceptance Rates

SC '02 Paper Acceptance Rate 67 of 230 submissions, 29%;
Overall Acceptance Rate 1,516 of 6,373 submissions, 24%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)2
  • Downloads (Last 6 weeks)0
Reflects downloads up to 16 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2016)Refactoring and optimizing the community atmosphere model (CAM) on the sunway taihulight supercomputerProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis10.5555/3014904.3015016(1-12)Online publication date: 13-Nov-2016
  • (2014)High-productivity framework on GPU-rich supercomputers for operational weather prediction code ASUCAProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis10.1109/SC.2014.26(251-261)Online publication date: 16-Nov-2014
  • (2013)A peta-scalable CPU-GPU algorithm for global atmospheric simulationsACM SIGPLAN Notices10.1145/2517327.244251848:8(1-12)Online publication date: 23-Feb-2013
  • (2013)A peta-scalable CPU-GPU algorithm for global atmospheric simulationsProceedings of the 18th ACM SIGPLAN symposium on Principles and practice of parallel programming10.1145/2442516.2442518(1-12)Online publication date: 23-Feb-2013
  • (2011)World-highest resolution global atmospheric model and its performance on the Earth SimulatorState of the Practice Reports10.1145/2063348.2063376(1-12)Online publication date: 12-Nov-2011
  • (2010)An 80-Fold Speedup, 15.0 TFlops Full GPU Acceleration of Non-Hydrostatic Weather Model ASUCA Production CodeProceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis10.1109/SC.2010.9(1-11)Online publication date: 13-Nov-2010
  • (2009)Interactive physical simulation on multicore architecturesProceedings of the 9th Eurographics conference on Parallel Graphics and Visualization10.5555/2386188.2386190(1-8)Online publication date: 29-Mar-2009
  • (2008)Algorithm 888ACM Transactions on Mathematical Software10.1145/1391989.140458135:3(1-23)Online publication date: 1-Oct-2008
  • (2007)An on-chip cache design for vector processorsProceedings of the 2007 workshop on MEmory performance: DEaling with Applications, systems and architecture10.1145/1327171.1327173(17-23)Online publication date: 16-Sep-2007
  • (2006)High-performance computing for exact numerical approaches to quantum many-body problems on the earth simulatorProceedings of the 2006 ACM/IEEE conference on Supercomputing10.1145/1188455.1188504(47-es)Online publication date: 11-Nov-2006
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media