The Equipment of Excellence project of high-performance computing of coordinated mid-sized computing centres offers the purchase of powerful calculation computers intended to be networked throughout the country.
Digital simulation will help resolve a large number of scientific challenges, in biology (genome and complex organisms), for the design of new energy producing systems, and in the nanosciences and nanotechnologies.
Digital simulation may particularly improve the forecasting of emergency situations (forest fires, tsunamis, earthquake aftershocks, weather phenomena) or, in the area of health, to design new drugs, new prostheses, and more.
This project will allow France to be the first country in the world to have such a calculation pyramid, which will give it a significant competitive advantage.
This coordination will allow students to be able to enhance their training and thus make them aware of the importance of digital simulation.
The simulation will result in an important competitive advantage for companies, allowing a reduction in R&D costs by replacing material prototyping with virtual prototyping. Markets for this technology involve aerospace, automobile, health, energy, climate and software publication.
The objective of the Equip@Meso project is to develop equipment and interactions within regional calculation centres. It has been identified in the context of calls for the Equipex 2010 project, with an overall budget of €10.5 million over the 2011-2019 period. This is one of twelve projects of more than €10 million identified within this context. Equip@Meso brings together 10 partners, selected on the basis of their scientific quality, the service they currently provide, their effective coverage of the territory and their contribution to the field of research training. These partners are: Université de Strasbourg, Université Claude Bernard Lyon 1, Université Joseph Fourier, Aix-Marseille Université, PRES Université de Toulouse, Université Pierre et Marie Curie, Maison de la Simulation (ECA), PRES Paris Sciences et Lettres, Université de Reims Champagne-Ardenne and CRIHAN. The project is coordinated by GENCI (Grand Equipement National de Calcul Intensif / French national High-Performance Computing Agency).