Abstract
Flood modeling is a complex problem that requires cooperation of many scientists in different areas. In this paper, the architecture and results of the ANFAS (Data Fusion for Flood Analysis and Decision Support) project is presented. This paper also focuses on the parallel numerical solutions of flood modeling module that are the most computational-intensive part of the whole ANFAS architecture.
This work is supported by EU 5FP ANFAS IST-1999-11676 RTD and the Slovak Scientific Grant Agency within Research Project No. 2/7186/20
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References
FLDWAV: 1D flood wave simulation program http://hsp.nws.noaa.gov/oh/hrl/rvrmech/rvrmain.htm
Mike21: 2D engineering modeling tool for rivers, estuaries and coastal waters http://www.dhisoftware.com/mike21/
SMS: 2D surface water modeling package http://www.bossintl.com/html/sms_overview.html
V. D. Tran, L. Hluchy, G. T. Nguyen: Parallel Program Model and Environment, ParCo’99, Imperial College Press, pp. 697–704, August 1999, TU Delft, The Netherlands.
I.S. Duff, H.A. van der Vorst: Developments and Trends in the Parallel Solution of Linear Systems, Parallel Computing, Vol 25(13-14), pp. 1931–1970, 1999.
Y. Saad, M. H. Schultz: GMRES: A generalized minimal residual algorithm for solving nonsymmetric linear systems. SIAM J. Scientific and Statistical Computing, Vol. 7, pp. 856–869, 1986.
R.S. Dembo, S.C. Eisenstat, T. Steihaug: Inexact Newton methods. SIAM J. Numerical Analysis, Vol. 19, pp. 400–408, 1982.
W.D. Gropp, D.E. Keyes, L.C. McInnes, M.D. Tidriri: Globalized Newton-Krylov-Schwarz Algorithms and Software for Parallel Implicit CFD. Int. J. High Performance Computing Applications, Vol. 14, pp. 102–136, 2000.
MPICH-A Portable Implementation of MPI http://www-unix.mcs.anl.gov/mpi/mpich/
Selim G. Akl: Parallel Computation Models and Methods, Prentice Hall 1997.
PETSc The Portable, Extensible Toolkit for Scientific Computation. http://www-fp.mcs.anl.gov/petsc/
Pfister G.F.: In Search of Clusters, Second Edition. Prentice Hall PTR, ISBN 0-13-899709-8, 1998.
H. Vorst: Bi-CGSTAB: A fast and smoothly converging variant of Bi-CG for the solution of nonsymmetric linear systems. SIAM J. Scientific and Statistical Computing, Vol. 13, pp. 631–644, 1992.
P. Sonneveld: CGS, a fast Lanczos-type solver for nonsymmetric linear systems. SIAM J. Scientific and Statistical Computing, no. 10, pp. 36–52, 1989.
FESWMS-Finite Element Surface Water Modeling. http://www.bossintl.com/html/feswms.html
ANFAS Data Fusion for Flood Analysis and Decision Support, http://www.ercim.org/anfas/
X.C. Cai, M. Sarkis: A restricted additive Schwarz preconditioner for general sparse linear systems. SIAM J. Scientific ComputingVol. 21, pp. 792–797, 1999.
D. Froehlich: Finite element surface-water modeling system: Two-dimensional flow in a horizontal plane. User manual.
Y. Saad, H. Vorst: Iterative Solution of Linear Systems in the 20-th Century. J. Appl. Math, Vol. 123, pp. 1–33, 2000.
K. Ajmani, W.F. Ng, M.S. Liou: Preconditioned conjugate gradient methods for the Navier-Stokes equations. J. Computaional Physics, Vol. 110, pp. 68–81, 1994.
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Hluchy, L., Tran, V.D., Astalos, J., Dobrucky, M., Nguyen, G.T., Froehlich, D. (2002). Parallel Flood Modeling Systems. In: Sloot, P.M.A., Hoekstra, A.G., Tan, C.J.K., Dongarra, J.J. (eds) Computational Science — ICCS 2002. ICCS 2002. Lecture Notes in Computer Science, vol 2329. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46043-8_55
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