Numerical Algorithms and Scientific Engineering Problems

Topic 11


Fast and robust parallel algorithms for the basic problems of numerical mathematics are crucial for solving the problems in computational science and engineering that arise today.

This workshop will be a forum for the presentation and discussion of new developments in the field of parallel numerical algorithms, covering all aspects from basic algorithms, software design and prototyping to efficient implementation on modern parallel architectures and performance analysis. Because of its importance for High Performance Scientific Computing applications, the parallel direct or iterative solution of large systems of linear and nonlinear equations will be of prime interest.

However, contributions dealing with problems other than numerical linear and nonlinear algebra, or with general topics concerning parallel numerical methods are also welcome.


  • numerical linear algebra
  • large sparse or dense linear systems and eigensystems
  • nonlinear systems
  • fast transforms (wavelets, FFT)
  • discretized partial differential equations

Global Chair

Prof. Iain Duff

Computational Science and Engineering Department

Rutherford Appleton Laboratory

Oxfordshire, UK


Vice Chairs

Prof. Henk van der Vorst

Mathematical Institute

Utrecht University, The Netherlands


Dr. Luc Giraud  


Toulouse, France      


Local Chair

Prof. Peter Zinterhof    

Department of Scientific Computing

Salzburg University, Austria