The C2S@Exa INRIA large-scale initiative is concerned with the development of numerical modeling methodologies that fully exploit the processing capabilities of modern massively parallel architectures in the context of a number of selected applications related to important scientific and technological challenges for the quality and the security of life in our society.

Indeed, high performance computing is increasingly more important and beneficial to scientific discovery through the simulation of complex physical phenomena, such as those raised by astrophysics, earth sciences, life sciences, material sciences including nanotechnologies, plasmas physics, etc. Besides, high performance computing and networking also impacts industrial design by reducing the simulation time and allowing several configurations to be evaluated in the framework of an optimization process. Two levels of applications are considered in the C2S@Exa large-scale initiative.

First, a small number of scientific and technological challenges have been selected as the main targets for the research and development activities undertaken in the project. Two application domains have been considered at the beginning of the project namely, nuclear energy production and radioactive waste management. For these application domains, associated use cases have been defined in conjunction with external partners for the demonstration of the possibilities of the high performance numerical computing methodologies that are developed in the project. The two external partners currently involved in the project are ANDRA (French National Agency for Radioactive Waste Management) and CEA-IRFM (French Alternative Energies and Atomic Energy Commission).

Apart from the above-mentioned application contexts, demonstration actions will also be conducted on the basis of secondary use cases that are not associated to the participation of external partners, although increasingly relying on modern high performance computing methodologies and capabilities.

Design by N.Design Studio, adapted by (version 1.0.0)
Powered by pmwiki-2.2.38