The mission of CloudiFacturing is to optimize production processes and producibility using Cloud\/HPC-based modelling and simulation, leveraging online factory data and advanced data analytics, thus contributing to the competitiveness and resource efficiency of manufacturing SMEs, ultimately fostering the vision of Factories 4.0 and the circular economy. ESPRESO is involved in this project by creating an automated system for the solution of the quenching process of the aluminium profile in the cooperation with the FERRAM and HYDAL companies.<\/span><\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t EXPERTISE is a European Training Network (ETN) that will contribute to the training of the next generation of mechanical and computer science engineers with a common basic knowledge in the challenges, the paradigms, the technologies, and the methodologies in the field of nonlinear structural dynamics of turbomachinery and High Performance Computing. The ESPRESO team collaborates with the consortium members on the development of parallel solvers for harmonic balance response methods for application in the field of turbomachinery industry.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t Green is a\u00a0version of ESPRESO developed under the Horizon 2020 project READEX (RUNTIME EXPLOITATION OF APPLICATION DYNAMISM FOR ENERGY-EFFICIENT EXASCALE COMPUTING). This project started in September 2015. The ultimate goal for the ESPRESO team was to develop a power efficient version of the Total and Hybrid FETI solver that does not solve the problem in the shortest\u00a0possible time\u00a0but rather minimizes the power consumption.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t The aim of this project is to extend the ESPRESO library to support the highly scalable solution of problems in complex domains using FETI domain decomposition methods, thus enabling the solution of large scale sound scattering and harmonic analysis problems. The goal is to provide a modern, modular and portable code written in C++, parallelized on all possible levels, and capable of utilizing the most powerful supercomputers. \u00a0<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\tEXPERTISE<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
READEX<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
PRACE 6IP WP8<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t