10. Parallel Numerical Algorithms


Fast and robust parallel or distributed algorithms for core numerical tasks and their efficient implementation in easy-to-use portable software components are crucial for computational science and engineering applications. The sessions of this topic will provide a forum for the presentation and disscussion of new developments in field of parallel and distributed numerical algorithms. All aspects of their design and implementation will be addressed, ranging from fundamental algorithmic concepts via their efficient implementation on modern parallel or distributed architectures (including multi-core systems, clusters, or the grid), to software design and prototyping in scientific computing or simulation software environments and performance analysis. Contributions dealing with algorithms and software for problems in all of these areas are welcome. Special focus will be put on parallel algorithms for the following areas:


  • Partial differential equations
  • Domain decomposition
  • Ordinary differential and differential algebraic equations
  • Optimisation
  • Integral equations
  • Dense and sparse linear systems
  • Nonlinear systems
  • Linear and nonlinear programming
  • Transformations (wavelets, FFT)
  • Building blocks for linear algebra
  • Other numerical methods (quadrature, ...)

Topic committee

Global chair
Peter Arbenz ETH Switzerland
Vice chair
Patrick Amestoy INPT-ENSEEIHT France
Pasqua D'Ambra ICAR-CNR Italy
Local chair
Martin van Gijzen Delft University of Technology Netherlands



August 25, 2009
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