Computational Steering and Online Visualization of Scientific Applications on Large-Scale HPC Systems within e-Science Infrastructures
Morris Riedel, Thomas Eickermann, S. Habbinga, Wolfgang Frings, P. Gibbon, Daniel Mallmann, Felix Wolf, Achim Streit, Thomas K. Lippert, Felix Wolf, Wolfram H. Schiffmann, Andreas Ernst, Rainer Spurzem, Wolfgang E. Nagel · 2007
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 e- science infrastructures and outline potential solutions.