C,
Microsoft,
IBM, ... Timetable
| Monday, June 21, 2004 | Tuesday, June 22, 2004 | Wednesday, June 23, 2004 | |||||||||||||||
| 8:00 - 8:50 | Registration | 8:15 - 8:50 | Registration & desk information | 8:15 - 8:50 | Desk information | ||||||||||||
| 8:50 - 9:00 | Opening remarks | 8:50 - 9:00 | Practical remarks | 8:50 - 9:00 | Practical remarks | ||||||||||||
| 9:00 - 9:45 | Jack Dongarra | 9:00 - 9:45 | Richard Brent | 9:00 - 9:45 | John Reid | ||||||||||||
| 9:45 - 10:30 | Peter Sloot | 9:45 - 10:30 | Iain Duff | 9:45 - 10:30 | Henrik Madsen | ||||||||||||
| 10:30 - 11:00 | Coffee | 10:30 - 11:00 | Coffee | 10:30 - 11:00 | Coffee | ||||||||||||
| 6:00 - 12:40 | 6.1 | 25.1 | 4.1 | 5.1 | 15.4 24.1 | 11:00 - 12:40 | 1.4 | 7.1 | 10.1 | 11.1 | 14.1 | 11:00 - 12:40 | 15.1 | 21.1 | 26.1 | 27.1 | 1.1 |
| 12:40 - 13:50 | Lunch | 12:40 - 13:50 | Lunch | 12:40 - 13:50 | Lunch | ||||||||||||
| 13:50 - 15:30 | 6.2 | 3.1 | 4.2 | 5.2 | 24.2 | 13:50 - 15:30 | 1.2 | 7.2 20.2 | 10.2 | 11.2 | 12.2 28.1 | 13:50 - 15:30 | 15.2 | 21.2 | 26.2 | 27.2 | 20.1 |
| 15:30 - 16:00 | Coffee | 15:30 - 16:00 | Coffee | 15:30 - 16:00 | Coffee | ||||||||||||
| 16:00 - 17:40 | 9.1 | 3.2 | 4.3 | 13.1 | 8.2 | 16:00 - 17:20 | 8.1 | 12.1 | 11.3 1.5 | 13.2 | 16:00 - 17:40 | 15.3 | 2.1 | 23.1 | 22.1 | 1.3 | |
| 17:40 - 18:25 | Bo Kågström | 17:20 - 18:05 | Fred Gustavson | 17:40 - 18:25 | Zahari Zlatev | ||||||||||||
| 18:25 - 19:10 | Per Christian Hansen | 18:05 - 18:10 | Practical remarks | 18:25 - 18:35 | Closing remarks | ||||||||||||
| 19:10 - 21:00 | Reception | 19:00 - 22:30 | Conference dinner | 20:00 - 23:00 | Bonfire excursion | ||||||||||||
N.B. The expression m.n means the nth session of topic m.
The topics are as follows (numbers less than 20 refer to minisymposia):
1. Interval methods; 2. Trends in large scale computing;
3. High performance linear algebra algorithms; 4. Substructuring,
dimension reduction and applications;
5. Parallel processing in science and engineering;
6. Distributed computing: tools, paradigms and infrastructures;
7. High-performance computing in earth and space science;
8. Advanced algorithms and software components for scientific computing;
9. Software engineering and problem solving environments for scientific
computing; 10. Runtime software techniques for enabling high-performance
applications; 11. Sparse direct linear solvers; 12. Treatment of large
scientific models; 13. Performance evaluation and design of hardware-aware
PDE solvers; 14. HPC methods in statistics;
15. Approaches and methods of security engineering (AMSE);
16. A use of HPC in operational weather forecasting at DMI;
20. Special sessions;
21. Grid and network; 22. Tools; 23. Cryptology; 24. Security;
25. Simulation; 26. Clusters and graphics; 27. Theoretical mechanics;
28. Data base.