We human beings are concerned about how actual energy production systems are contaminating our planet. A solution is to adopt Fusion power plants, which are still utopic... but not too much!
Many of the obstacles are about simulation of all situations that a reactor may encounter, in order to tune the working parameters an turn the following expression:
Energy Produced (less than) Energy Consumed
into something better like:
Energy Produced (great than) Energy Consumed
A factor for successful simulations is computational power. If a simulation algorithm can be parallelized, more simulations could me performed. Guess where Grid Computing gets into the scene? ;-)
My two cents in this Session (the one starting at 14:00) is the presentation of Vashra-T, a framework that enables the Grid execution of certain tasks pertaining to a great Fusion Physics code named ASTRA, which runs on a shared-memory machine with restrictions. In this case, Grid Computing and in particular, infrastructures like EGEE and GRIDIMadrid coordinatedly harnessed thanks to the GridWay Metascheduler, are helping to scale and speed up these calculations. This work is the result of a collaboration between our Research Group at UCM and the Spanish Fusion National Lab from CIEMAT.