Numerically intensive computing, such as large-scale simulations for scientific and engineering applications, requires sophisticated usage of highly parallel computers. The increase of availability, scalability and efficiency of PC clusters has led to increased interest in clusters and also in possible application in industry, business, and management. The recent development of middleware tools makes it possible to use computational or data grids to solve the largest classes of problems with requirements for highly heterogeneous computer resources.
This topic aims at the development, implementation and lessons learned from the development and using of real industrial, engineering, scientific, and commercial applications on parallel/distributed computing systems including computational and data grids with special interest given to multidisciplinary applications.
Papers describing the experience of porting industrial codes as well as the presentation of new applications developed for modern computational parallel/distributed environments are welcome. Interest will be focused on performance issues.
Prof. Jacek Kitowski
Institute of Computer Science and ACC CYFRONET UMM
University of Mining and Metallurgy , Karkow, Poland
Dr. Peter Luksch
Lehrstuhl für Rechnertechnik und Rechnerorganisation
Institut für Informatik,
Technische Universität München, Germany