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Topics
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
(Preliminarily) Program Committee
- David Abramson, Monash University, Australia>
- Daniel Becker, Siemens AG, Germany
- Karl Fürlinger, LMU Munich, Germany
- Christopher Gottbrath, NVIDIA
- Sascha Hunold, TU Vienna, Austria
- Heike Jagode, ICL, University of Tennessee, USA
- Andreas Knüpfer, TU Dresden, Germany
- Dieter Kranzlmüller, LMU Munich, Germany
- Martin Schulz, LLNL, USA
- Sameer Shende, University of Oregon, USA
- Greg Watson, Oak Ridge National Laboratory (ORNL), USA
- Josef Weidendorfer, TU München, Germany
- Bill Williams, University of Wisconsin, USA
- Roland Wismüller, University Siegen, Germany
Call for Papers
We invite you to submit unpublished original papers of up to 10 pages
formatted according to the rules of
Procedia Computer Science.
To submit your paper, please go to the ICCS conference
submission system and select our workshop Tools for
Program Development and Analysis in Computational
Science. For more detailed submisison guidelines, please consult
the ICCS
conference call-for-papers page.
You can submit full papers or extended abstracts for review. In both
cases, the final contribution for the ICCS workshop submission needs
to be a full paper.
Submissions due: |
Feb 6, 2017 Extended to Feb 10, 2017 |
Author notification: |
March 10, 2017 |
Camera ready papers due: |
Mar 31, 2017 |
Submission implies the willingness of at least one of the authors to register and present the paper.
Previous Sessions
- ICCS 2016 - San Diego, California, U.S.A.
Tools for Program Development and Analysis in Computational Science
- ICCS 2015 - Reykjavik, Iceland
Tools for Program Development and Analysis in Computational Science
- ICCS 2014 - Cairns, Australia
Tools for Program Development and Analysis in Computational Science
- ICCS 2013 - Barcelona, Spain
Tools for Program Development and Analysis in Computational Science
- ICCS 2012 - Omaha, Nebraska, U.S.A.
Tools for Program Development and Analysis in Computational Science
- ICCS 2011 - Singapore
Tools for Program Development and Analysis in Computational Science
- ICCS 2010 - Amsterdam, The Netherlands
Tools for Program Development and Analysis in Computational Science
- 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/iccs2017/
Email: andreas.knuepfer@tu-dresden.de
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