10. Parallel Numerical Algorithms

Description
   Robust and efficient parallel numerical algorithms and their 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 discussion of new developments in the fields 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 architectures (including multi-core systems, multi-GPU based computers, clusters and the Grid), to software design and prototyping in scientific computing or simulation software environments, and to performance analysis.
   Contributions dealing with algorithms and software for problems in all these areas are welcome.

Focus
* partial differential equations
* domain decomposition
* ordinary differential and differential algebraic equations
* dense and sparse linear algebra
* nonlinear systems
* optimisation
* integral equation
* transformations (wavelets, FFTs, ...)
* building blocks for linear algebra
* fast approximate numerical algorithms
* memory efficient numerical algorithms

Topic Committee

Global Chair
Patrick Amestoy University of Toulouse, France

Local Chair
Daniela di Serafino Second University of Naples & ICAR-CNR, Italy

Members
Rob Bisseling Utrecht University, The Netherlands
Enrique S. Quintana Ortì University Jaime I, Spain
Marian Vajtersic University of Salzburg, Austria