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Large-scale scientific research often relies on the collaborative use of massive computational power, fast networks, and large storage capacities provided by e-science infrastructures (e.g., deisa, egee) since the past several years. Especially within e-science infrastructures driven by high-performance computing (hpc) such as deisa, collaborative online visualization and computational steering (covs)...
Especially within grid infrastructures driven by high-performance computing (HPC), collaborative online visualization and steering (COVS) has become an important technique to dynamically steer the parameters of a parallel simulation or to just share the outcome of simulations via visualizations with geographically dispersed collaborators. In earlier work, we have presented a COVS framework reference...
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...
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