Abstract
The Supercomputer Toolkit constructs parallel computation networks by connecting processor modules. These connections are set by the user prior to a run and are static during the run. The Technion’s Toolkit prototype was used to run a simplified version of the PSU/NCAR MM5 mesoscale model [9]. Each processor is assigned columns of the grid points of a square in the (x,y) space. When n x n columns are assigned to each processor its computation time is proportional to n 2 and its communication time to n. Since the Toolkit’s network computes in parallel and communicates in parallel, then, for a given n, the total time is independent of the size of the two dimensional array or the area over which the weather prediction takes place. A mesoscale forecast over the eastern Mediterranean was run and measured; it suggests that were the Toolkit constructed from ALPHA processors, 10 processors would do a 36 h prediction in only about 13 minutes. A 36 hours prediction with full physics for the whole earth will require 2 hours for 80 ALPHA processors.
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References
Abelson, H., et al., “The Supercomputer Toolkit: A general framework for special-purpose computing,” International Journal of High Speed Electronics, 3, Nos. 3 and 4, 337–361, 1992.
J. Katzenelson, et al., “The Supercomputer Toolkit and Its Applications,” Int. Journal of High Speed Electronics and Systems, Vol. 9, No. 3, 807–846, 1999.
Goikhman, A., “Software for the Supercomputer Toolkit,” M.Sc. thesis, Dept. of Electrical Eng., Technion-Israel Inst. of Technology, Haifa, Israel, 1997.
Goikhman, A. and J Katzenelson, “Initial Experimentation with the Supercomputer Toolkit,” EE memo 996, Dept. of Electrical Engineering, Technion — Israel Institute of Technology, Haifa, Israel, 1995.
Adler, B.J., “Special Purpose Computers,” Academic Press, Inc. 1988.
Alpert, P., “Implicit filtering in conjunction with explicit filtering”. J. Comp.Phys., 44, 212–219, 1981.
Anthes, R. A., and T. T. Warner, “Development of hydrodynamic models suitable for air pollution and other meso-meteorological studies,” Mon. Wea. Rev., 106, 1045–1078, 1978.
Arakawa, A., and V. R. Lamb, “Computational design of the basic dynamical process of the UCLA general circulation model,” Methods in Computational Physics, 17, 173–265, 1977.
Grell, G. A., et al., “A description of the Fifth-generation Penn State/NCAR Mesoscale Model (MM5),” Nationl Center for Atmospheric Research Tech. Note 398+STR, Dept. of Meteorology, The Pennsylvania State Univ., 1994.
Holton, J. R., “An Introduction to Dynamic Meteorology,” Academic Press, NY, pp. 511, 1992.
Pielke, R. A., “Mesoscale Meteorological Modeling,” Academic Press, NY, 1984.
Russell, R. M., “The CRAY-1 Computer System,” Comm. of the ACM, vol 21, no 1, January 1978, pp 63–72.
Sterling, T.L, et al., “How to build a Beowulf,” MIT Press, 1999.
IBM staff, Special issue on SP2, IBM Systems Journal, Vol 34, No2, 1995.
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Alpert, P., Goikhman, A., Katzenelson, J., Tsidulko, M. (2002). Numerical Weather Prediction on the Supercomputer Toolkit. In: Zima, H.P., Joe, K., Sato, M., Seo, Y., Shimasaki, M. (eds) High Performance Computing. ISHPC 2002. Lecture Notes in Computer Science, vol 2327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47847-7_30
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DOI: https://doi.org/10.1007/3-540-47847-7_30
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