https://www.dagstuhl.de/09061
February 1 – 6 , 2009, Dagstuhl Seminar 09061
Combinatorial Scientific Computing
Organizers
Uwe Naumann (RWTH Aachen, DE)
Olaf Schenk (Universität Basel, CH)
Horst D. Simon (Lawrence Berkeley National Laboratory, US)
Sivan Toledo (Tel Aviv University, IL)
For support, please contact
Documents
Dagstuhl Seminar Proceedings
List of Participants
Dagstuhl's Impact: Documents available
Press Review
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Vom Problem über den Graphen zum Hochleistungsrechner.
Wolfgang Back und Wolfgang Rudolph vom Computerclub Zwei im Gespräch mit Prof. Uwe Naumann.
Topics
- high-performance scientific computing
- graphs, hypergraphs, and combinatorics
- algorithms and complexity
- large-scale optimization
Summary
The activities of the seminar focused on combinatorial issues in high-performance scientific computing. The activities included:
- eight one-hour invited talks
- thirteen 20-minute contributed talks by participants from seven countries
- six software tutorials
- three round table discussions
Participants also enjoyed one of two recreational activities in a free afternoon (a long hike or a trip to Trier). As usual in Dagstuhl seminars, participants also engaged in lively informal professional (and personal) discussions during breaks, at meal times, and late into the night in the cafeteria / the wine cellar.
Two of the organizers, Uwe Naumann and Olaf Schenk, are working on a proposal to CRC Press for publication of a special collection of articles on Combinatorial Scientic Computing in their Chapman & Hall/CRC Computational Science series. The purpose of the book is to provide the rst collection of references for a diverse community of researcher working in different aspects in the exiting field of CSC. The content is strongly motivated by this seminar including survey articles as well as tutorial-style software guides. Potential readers include graduate students, young researcher, scientists in mid-career, and senior investigators from both academia and industry. Some are experts on graph combinatorial aspects, some are focusing on theoretical analysis, and some are more directed towards software development and concrete applications. Outreach into areas of science and engineering that face similar combinatorial problems as the CSC community is a major objective.
Classification
- Modelling / Simulation
- Data Structures / Algorithms / Complexity
- Optimization / Scheduling
- Programming Languages / Compiler
- Combinatorial Scientific Computing
Keywords
- Graphs
- Combinatorics
- High-performance scientific computing