Topic 14: High-Performance and Scientific Applications
Description
As our understanding of the world around us increases it becomes more
challenging to make use of what we already know, and to increase our understanding still further. Computational modeling and simulation have become critical tools in addressing this challenge. The requirements of high-resolution, accurate modeling have outstripped the ability of desktop computers and even small clusters to provide the necessary compute power. Many applications in the scientific and engineering domains now need very large amounts of compute time, while other applications, particularly in the lifesciences, frequently have large data I/O requirements. There is thus a growing need for a range of high performance applications which can utilize parallel compute systems effectively, and which have efficient data I/O strategies.
This topic will highlight recent progress in the use of high-performance parallel and scientific computing, with an emphasis on successes, advances, and lessons learned in the development and implementation of novel scientific, engineering, and industrial applications. We welcome papers that describe new applications, as well as existing applications ported to new environments, e.g., from workstations to modern parallel systems, or between parallel systems of differing architectures.
Focus
- Advances in science and engineering modeling and simulation of complex systems including, but not limited to, areas such as fluid dynamics, structural mechanics/dynamics, physics, chemistry, biology, earth sciences, pharmaceutical design, etc.
- Hybrid shared memory and message passing tools
- New applications in non-traditional areas such as health care, social sciences, financial modeling, transportation, and economics
- Large-scale data analysis in high-performance applications
- Management of high data volumes in the scientific workflow
- Success and lessons learned in petascale computing and beyond
Topic Committee
Global chair
Turlough P. Downes, Dublin City University, Ireland
Local chair
Sabine Roller, University of Siegen, Germany
Further members
Ari P. Seitsonen, University of Zurich, Switzerland
Sophie Valcke, CERFACS, France