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Parallel PDE-Based Simulations Using the Common Component Architecture

  • Conference paper
Numerical Solution of Partial Differential Equations on Parallel Computers

Part of the book series: Lecture Notes in Computational Science and Engineering ((LNCSE,volume 51))

Summary

The complexity of parallel PDE-based simulations continues to increase as multimodel, multiphysics, and multi-institutional projects become widespread. A goal of component- based software engineering in such large-scale simulations is to help manage this complexity by enabling better interoperability among various codes that have been independently developed by different groups. The Common Component Architecture (CCA) Forum is defining a component architecture specification to address the challenges of high-performance scientific computing. In addition, several execution frameworks, supporting infrastructure, and general-purpose components are being developed. Furthermore, this group is collaborating with others in the high-performance computing community to design suites of domain-specific component interface specifications and underlying implementations.

This chapter discusses recent work on leveraging these CCA efforts in parallel PDE-based simulations involving accelerator design, climate modeling, combustion, and accidental fires and explosions. We explain how component technology helps to address the different challenges posed by each of these applications, and we highlight how component interfaces built on existing parallel toolkits facilitate the reuse of software for parallel mesh manipulation, discretization, linear algebra, integration, optimization, and parallel data redistribution. We also present performance data to demonstrate the suitability of this approach, and we discuss strategies for applying component technologies to both new and existing applications.

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Authors and Affiliations

  1. Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL, USA

    Lois Curfman McInnes, Steven J. Benson, J. Walter Larson & Boyana Norris

  2. Scalable Computing R & D, Sandia National Laboratories (SNL), Livermore, CA, USA

    Benjamin A. Allan & Robert Armstrong

  3. Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA

    David E. Bernholdt & James A. Kohl

  4. Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, Livermore, CA, USA

    Tamara L. Dahlgren & Lori Freitag Diachin

  5. Computational Sciences and Mathematics, Pacific Northwest National Laboratory, Richland, WA, USA

    Manojkumar Krishnan & Jarek Nieplocha

  6. Reacting Flow Research, SNL, Livermore, CA, USA

    Sophia Lefantzi

  7. Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA

    Steven G. Parker

  8. Advanced Software R & D, SNL, Livermore, CA, USA

    Jaideep Ray

  9. Northrop Grumman Corporation, Information Technology Sector, Chantilly, VA, USA

    Shujia Zhou

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  1. Lois Curfman McInnes
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    Are Magnus Bruaset  & Aslak Tveito  & 

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McInnes, L.C. et al. (2006). Parallel PDE-Based Simulations Using the Common Component Architecture. In: Bruaset, A.M., Tveito, A. (eds) Numerical Solution of Partial Differential Equations on Parallel Computers. Lecture Notes in Computational Science and Engineering, vol 51. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31619-1_10

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