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 that reason, computational science and engineering must be able to rely on dedicated support from program development and analysis tools.
The primary intention of this workshop is to bring together developers of tools for scientific computing and their potential users.
Paper submissions by both tool developers and users from the scientific and engineering community are encouraged in order to inspire communication between both groups.
Tool developers can present to users how their tools support scientists and engineers during program development and analysis.
Tool users are invited to report their experiences employing such tools, especially highlighting the benefits and the improvements possible by doing so.
The following areas and related topics are of interest:
- Problem solving environments for specific application domains
- Application building and software construction tools
- Domain-specific analysis tools
- Program visualization and visual programming tools
- On-line monitoring and computational steering tools
- Requirements for (new) tools emerging from the application domain
In addition, we encourage software tool developers to describe
use cases and practical experiences of software tools for real-world
applications in the following areas:
- Tools for parallel, distributed and network-based computing
- Testing and debugging tools
- Performance analysis and tuning tools
- (Dynamic) Instrumentation and monitoring tools
- Data (re-)partitioning and load-balancing tools
- Checkpointing and restart tools
- Tools for resource management, job queuing and accounting
Program Committee
- Karl Fuerlinger Univ. of California at Berkeley
- Markus Geimer Forschungszentrum Juelich
- Rainer Keller High Performance Computing Center Stuttgart (HLRS)
- Andreas Knüpfer TU Dresden
- Thomas Köckerbauer LMU Munich
- Dieter Kranzlmüller LMU & LRZ Munich
- Martin Schulz Lawrence Livermore National Laboratory
- Jie Tao FZK
- Lizhe Wang Indiana University
- Josef Weidendorfer TU Munich
- Roland Wismüller Uni Siegen
We invite you to submit a paper of up to 10 pages formatted according to the rules of
Procedia Computer Science
via the
conference submission system
selecting our workshop Tools for Program Development and Analysis in Computational Science in the drop-down menu.
| Papers due: |
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Dec 20, 2009
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Jan 15, 2010
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| Author notification: |
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Feb 20, 2010 |
| Camera ready papers due: |
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Mar 7, 2010 |
Submission implies the willingness of at least one of the authors to register and present the paper.
Previous Sessions
- ICCS 2009 - Baton Rouge, Louisiana, U.S.A.
Tools for Program Development and Analysis in Computational Science and Software Engineering for Large-Scale Computing
- ICCS 2008 - Krakow, Poland
Tools for Program Development and Analysis in Computational Science
- ICCS 2007 - Beijing, China
Tools for Program Development and Analysis in Computational Science
- ICCS 2006 - Reading, UK
Tools for Program Development and Analysis in Computational Science
- ICCS 2005 - Atlanta, USA
Tools for Program Development and Analysis in Computational Science
- ICCS 2004 - Krakow, Poland
Tools for Program Development and Analysis in Computational Science
- ICCS 2003 - Melbourne, Australia
Tools for Program Development and Analysis in Computational Science
- ICCS 2002 - Amsterdam, The Netherlands
Tools for Program Development and Analysis
- ICCS 2001 - San Francisco, California
Tools and Environments for Parallel and Distributed Programming
Contact
URL: http://www.lrz.de/iccs2010/
Email: iccs2010@lrz.de
Christof Klausecker
Ludwig-Maximilians-Universität München
Munich Network Management Team (MNM-Team)
Institut für Informatik
D-80538 München, Oettingenstr. 67, Germany
Phone: +49 89 2180-9324
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