Abstract
The emergence of low-cost PC clusters together with the standardization of programming models (MPI and OpenMP) have paved the way for parallel computing to come into production use. In all domains of high performance computing, parallel execution routinely is considered as one of the major sources of performance. In some domains, like computational .uid dynamics, commercial codes already o.er parallel execution as an option. In new domains, like bioinformatics, parallel execution is considered early in the design of algorithms and software. Besides clusters, grid computing is receiving increasing attention.
Chapter PDF
Similar content being viewed by others
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kitowski, J., Goscinski, A.M., Szymanski, B.K., Luksch, P. (2003). Topic 7 Applications on High-Performance Computers. In: Kosch, H., Böszörményi, L., Hellwagner, H. (eds) Euro-Par 2003 Parallel Processing. Euro-Par 2003. Lecture Notes in Computer Science, vol 2790. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45209-6_64
Download citation
DOI: https://doi.org/10.1007/978-3-540-45209-6_64
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40788-1
Online ISBN: 978-3-540-45209-6
eBook Packages: Springer Book Archive