> Congress /Final Programme/ Workshops / Ws9
Ws9
High Performance Computational Science and Engineering (HPCSE-04)
http://juliet.stfx.ca/~lyang/hpcse-04/
Room
Guillaumet 2
General co-Chairs
Andrei Doncescu ( adoncesc@laas.fr )
Laurence T. Yang ( lyang@stfx.ca )
Programme co-Chairs
Michael Ng ( kkpong@hkusua.hku.hk )
Tau Leng ( tau_leng@dell.com )
Scope of the Workshop
Computational Science and Engineering is increasingly becoming an emerging and promising discipline in shaping future research and development activities in academia and industry ranging from engineering, science, finance, economics, arts and humanitarian fields.
New challenges are in the fields of modeling of complex systems, sophisticated algorithms, advanced scientific and engineering computing and associated (multi-disciplinary) problem solving environments. Because the solution of large and complex problems must cope with tight timing schedules, the use of high performance computing including traditional supercomputing, scalable parallel and distributed computing, emerging cluster and grid computing, is inevitable.
This event will bring together computer scientists and engineers, applied mathematicians, researchers in other applied fields, industrial professionals to present, discuss and exchange idea, results, work in progress and experience of research in the area of high performance computational techniques for science and engineering applications.
Topics
The main topics include (but not limited to):
| • |
Scientific and engineering computing |
| • |
Problem solving environments |
| • |
Advanced numerical computation and optimization |
| • |
Complex systems: modeling and simulation |
| • |
Parallel and distributed computing |
| • |
Architectures and computation models, compiler, hardware and OS issues |
| • |
Memory system, I/O, Tools, programming environment and language supports |
| • |
Performance modeling and evaluation |
| • |
Artificial intelligence |
| • |
Visualization and virtual reality |
| • |
Hardware/software co-design and VLSI support |
| • |
Cluster, grid and web-based computing and simulation |
| • |
Education in Computational Science and engineering |
| • |
Related applications |
Topics include computational fluid dynamics and mechanics, material sciences, space, weather, climate systems and global changes, computational environment and energy systems, computational ocean and earth sciences, combustion system simulation, computational chemistry, computational physics, bioinformatics and computational biology, medical applications, transportation systems simulations, combinatorial and global optimization problems, structural engineering, computational electro-magnetics, data mining and information retrieval, computer graphics, virtual reality and multimedia, computational finance, semiconductor technology, electronic circuits, system design, signal and image processing, and dynamic systems, etc.
|
