 Let us start asking ourselves what is fission? Fission is the process that powers the sun and our motivation here is to reproduce this process on earth in a controlled way. If we're able to do that we'll have at our disposal a clean and unlimited source of energy that can change humanity forever. Fission is about the reaction of two hydrogen atoms and it's practical and limited because it requires deuterium and lithium and they can easily be extracted from sea water. It's also clean because it does not produce emissions and it's also safe because we can easily stop the fission reaction. On earth fission will be reproduced on fission reactors and the core of the fission reactor is the plasma that you have on your right where the fission reaction takes place. Unfortunately nowadays there are still so many open technological issues related to the design of efficient fission reactors. For this reason as you probably know there is an international project called ETER that has been launched. ETER aims to build the largest ever fission reactor which will serve as a large-scale scientific experiment to gain all the knowledge that we require to make fission a reality by 2014. But I have to say that now ETER is under construction and some experiments will only be available by 2013. It poses a real problem for the success of the whole fission roadmap. The reason is that we don't have the knowledge and we don't have the experiments to gain that knowledge. Let me put you an example. Tritium an isotope of hydrogen is required for the fission reaction but tritium cannot be obtained from nature. As a result the fission reactor must produce all the tritium that it needs to operate and engineers have some ideas about how to attain that but the validation experiments for their technological concepts will only be available by 2030. In this situation the development of virtual fission labs is a must because we cannot wait so long for the real experiments. With regard to the simulation of these fission reactors I have to say that they involve multiple scales like in turbulent flows as a smoke and also multiple physics which make these simulations extremely hard. They require the most advanced medical algorithms but also huge computational resources. Fission research takes benefit from exploiting the larger supercomputers today. A supercomputer is a set of processors that are interconnected and current supercomputers have about one million processors but in the near future we expect a 100 times improvement in terms of peak performance of supercomputers. This improvement will not be based on faster processors it will be based on a much larger number of processors. By 2020 we expect to have at our disposal the excess scale supercomputers with billions of processors. If we are able to efficiently exploit these excess scale supercomputers we will be able to run current simulations much faster or simply solve problems that are out of reach now. For instance we will be able to perform the whole simulation of a plasma in a fission reactor like ITER which is out of reach now. Proficially exploit billions of processors is a very challenging task. Our research is about the development of radical and new numerical algorithms that will perfectly fit to the underlying hardware of these excess scale supercomputers. If we succeed this research will lead to advanced simulation tools that will allow engineers to validate their technological designs like for instance in region production without the need to wait so long for the real experiments. So summarizing advanced simulation on excess scale supercomputers will be very important for the success of fission and to finally bring the power of the sand to earth. But I have to say that our research is very transversal and can also be applied to many other physical phenomena. As an example in the frame of clean energy related problems large scale scientific computing is and will be very important for the simulation of your thermal reservoirs CO2 sequestration modeling or wind farms just to mention some examples. So thank you very much for your attention.