Third IEEE International Conference on e-Science and Grid Computing (e-Science 2007) Computational Steering and Online Visualization of Scientific Applications on Large-Scale HPC Systems within e-Science Infrastructures Bangalore, India December 10-December 13 ISBN: 0-7695-3064-8
In the past several years, many scientific applications from various domains have taken advantage of e-science infrastructures that share storage or computational resources such as supercomputers, clusters or PC server farms across multiple organizations. Especially within e-science infrastructures driven by high-performance computing (HPC) such as DEISA, online visualization and computational steering (COVS) has become an important technique to save compute time on shared resources by dynamically steering the parameters of a parallel simulation. This paper argues that future supercomputers in the Petaflop/s performance range with up to 1 million CPUs will create an even stronger demand for seamless computational steering technologies. We discuss upcoming challenges for the development of scalable HPC applications and limits of future storage/IO technologies in the context of next generation escience infrastructures and outline potential solutions.
Citation:
M. Riedel, Th. Eickermann, S. Habbinga, W. Frings, P. Gibbon, D. Mallmann, F. Wolf, A. Streit, Th. Lippert, Felix Wolf, Wolfram Schiffmann, Andreas Ernst, Rainer Spurzem, Wolfgang E. Nagel, "Computational Steering and Online Visualization of Scientific Applications on Large-Scale HPC Systems within e-Science Infrastructures," e-science, pp.483-490, Third IEEE International Conference on e-Science and Grid Computing (e-Science 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||