Applications on High-Performance Computers

Topic 07


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.


  • existing traditional industrial applications in computational fluid dynamics,  computational structural mechanics/dynamics, computational chemistry and biotechnology, environmental quality modelling, computational drug design, computational electromagnetic modelling, 
  • new applications such as natural phenomena modelling, virtual reality, multimedia support, data compression, geographical information systems, data mining, data-intensive computing, cognitive recognition and others,
  • next generation software applications for business, engineering and management,
  • methodology for the development and implementation of large-scale grid-enabled applications for simulation and visualisation, with special interest on the applications that require real time response and interaction with the user. Possible examples cover pre-treatment planning in surgical procedures, flood prevention and protection, weather forecast and air pollution modelling, applications for physics analysis.

Global Chair

Prof. Jacek Kitowski

Institute of Computer Science and ACC CYFRONET UMM

University of Mining and Metallurgy , Karkow, Poland


Vice Chairs

Prof. Boleslaw K. Szymanski

Department of Computer Science

Rensselear Polytechnic Institute, USA


Prof. Andrzej M. Goscinski

School of Information Technology

Deakin University, Australia


Local Chair

Dr. Peter Luksch

Lehrstuhl für Rechnertechnik und Rechnerorganisation

Institut für Informatik,

Technische Universität München, Germany