Welcome!
To use the personalized features of this site, please log in or register.
If you have forgotten your username or password, we can help.
|
 |
Special Session: Tools for Program Development and Analysis in Computational Science
| |
|
Special Session: Tools for Program Development and Analysis in Computational Science
Jie Tao1, Arndt Bode2, Andreas Knuepfer3, Dieter Kranzlmüller4, Roland Wismüller5 and Jens Volkert4
| (1) |
Steinbuch Center for Computing, Karlsruhe Institute of Technology, Germany |
| (2) |
Lehrstuhl für Rechnertechnik und Rechnerorganisation, Technische Universität München, Germany |
| (3) |
Center for Information Services and High Performance Computing, Technische Universität Dresden, Germany |
| (4) |
Institute of Graphics and Parallel Processing, Johannes Kepler University Linz, Austria |
| (5) |
Operating Systems and Distributed Systems, University of Siegen, Germany |
Abstract
The use of supercomputing technology, parallel and distributed processing, and sophisticated algorithms is of major importance
for computational scientists. Yet, the scientists’ goals are to solve their challenging scientific problems, not the software
engineering tasks associated with it. For this reason, computational science and engineering must be able to rely on dedicated
support from program development and analysis tools.
Fulltext Preview (Small, Large)
|
|
|
|
|
|