Collaboration portal for petascale simulations

The emergence of petascale computing is creating a tsunami of data from peta-scale simulations. Typically, results are analyzed by dozens of scientists who often work as teams. Obviously, it is very important to help these teams by facilitating management, analysis, sharing, and visualization of the data produced by their simulations, and by the auxiliary programs and activities used in the scientific process. One aspect of this is leveraging of their collective knowledge and experiences through a scientific social network. This can be achieved through a combination of back-end IT services, provenance capturing, and easy to use front-end tools. ldquoeSimMonrdquo, is one such tool. In this paper we describe this analysis support system, discuss its ease of use, its efficiency, and its ability to accelerate scientific discovery.