A Purely Distributed Approach for Coupling Scientific and Engineering Applications

  • Vicente Berbegall
  • L. A. Drummond
  • Gumersindo Verdú
  • Vicente Vidal
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3984)


In recent years, developments in computational sciences have enabled scientists to create sophisticated software tools and techniques that have contributed to the development of high accuracy numerical models that are used to study physical phenomena. The next level of sophistication addresses the integration or coupling of one or more computational models to simulate a more complex physical system. These coupled systems, are generally multidisciplinary in nature and are now emerge in a broad spectrum of fields in science and engineering such are Earth Sciences, Fusion Energy, Structural Engineering and Astrophysics. This paper presents an introduction to the Distributed Coupling Toolkit (DCT). This library tool provides a user friendly and scalable approach to formulate model coupling in distributed computer environments.


Data Transformation Earth System Model Data Layout Coupling Formulation Registration Step 
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.


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  1. 1.
    Larson, J., Jacob, R., Ong, E.: The Model Coupling Toolkit: A New Fortran90 Toolkit for Building Multiphysics Parallel Coupled Models. I. J. High Perf. Comp. App., 19(3), 277-292 (2005)Google Scholar
  2. 2.
    Hill, C., DeLuca, C., Balaji, V., Suarez, M., da Silva, A.: The ESMF Joint Specification Team.: The Architecture of the Earth System Modeling Framework. Computing in Science and Engineering, 6(1) (2004)Google Scholar
  3. 3.
    Valcke, S., Guilyardi, E., Larsson, C.: PRISM and ENES: A European approach to Earth system modelling. Concurrency and Computation: Practice and Experience 17, 1–16 (2005)CrossRefGoogle Scholar
  4. 4.
    Drummond, L.A., Mechoso, C.R., Demmel, J., Sklower, K., Robinson, H.: Data Broker for Distributed Computing Environments. In: Alexandrov, V.N., Dongarra, J., Juliano, B.A., Renner, R.S., Tan, C.J.K. (eds.) ICCS-ComputSci 2001. LNCS, vol. 2073, pp. 31–40. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  5. 5.
    Drummond, L.A., Farrara, J.D., Mechoso, C.R., Spahr, J.A., Demmel, J., Sklower, K., Robinson, H.: An Earth System Model for MPP environments. Issues in coupling components with different complexities. In: Proceedings from High Performance Computing 1999, Grand Challenges in Computer Simulation, pp. 123–127 (1999)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Vicente Berbegall
    • 1
  • L. A. Drummond
    • 3
  • Gumersindo Verdú
    • 1
  • Vicente Vidal
    • 2
  1. 1.Department of Chemical and Nuclear EngineeringPolytechnic University of Valencia 
  2. 2.Department of Computer Systems and ComputationPolytechnic University of ValenciaValenciaSpain
  3. 3.Computational Research DivisionLawrence Berkeley National LaboratoryBerkeley

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