Url http://www.cimne.com/webcimne/sigpro/Ficha.aspx?id=619
Project title Numerical methods and tools for key exascale computing challenges in engineering and applied sciences
Official Website http://www.numexas.eu/
Reference 611636
Principal investigator Eugenio OÑATE IBAÑEZ DE NAVARRA - onate@cimne.upc.edu
Start date 01/10/2013 End date 30/09/2016
Coordinator CIMNE
Consortium members
  • LUH
  • NTUA
Program FP7 (2007-2013) Call FP7-ICT-2013-10
Subprogram COOPERATION Category Europeo
Funding body(ies) EC Grant 436.021,00 €
Abstract Exaflop computing will make a considerable impact on several areas of engineering and applied sciences, where current high-end computing capabilities are deemed grossly insufficient. The overall aim of the NUMEXAS project is to develop, implement and validate the next generation of numerical methods to be run under exascale computing architectures. This will be done by implementing a new paradigm for the development of advanced numerical methods to really exploit the intrinsic capabilities of the future exascale computing infrastructures. The project covers RTD activities along the complete simulation pipeline: parallel pre-processing and grid generation, new numerical methods for parallel structured/unstructured multidisciplinary field solvers of high order, optimum design parallel solvers considering uncertainties and parallel in-solver visualization and feature extraction. The new numerical methods and software will be validated for a selected number of exascale size problems in engineering and applied sciences in state-of-the-art high performance computing platforms. The main outcome of NUMEXAS will be a new set of numerical methods and codes that will allow industry, government and academia to solve exascale-class problems in engineering and applied sciences in the next generation of exaflop computers with the efficiency and ease of use as today’s state-of-the-art codes. The consortium has a well-balanced distribution of institutions specialized in the development of numerical methods to solve grand challenge engineering and scientific problems (CIMNE, LUH-IKM and NTUA) and institutions hosting HPC facilities and supercomputing infrastructures (CESCA and LUH-HLRN). The partnership is completed with QUANTECH, an SME specialized in the development and marketing of simulation software for industrial forming processes.
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