Descripción del proyecto
Una informática de alto rendimiento que admite aplicaciones en los ámbitos de la aeronáutica, el clima y la meteorología y la energía
Para mantenerse a la vanguardia a la hora de abordar los retos industriales, tecnológicos y científicos y seguir el rápido ritmo al que los experimentos científicos y las grandes simulaciones (por ejemplo, las predicciones en los ámbitos de la multifísica, el clima y la meteorología) generan datos, la Unión Europea (UE) está invirtiendo en superordenadores y tecnologías. El proyecto financiado con fondos europeos ACROSS codiseñará y desarrollará una plataforma convergente de informática de alto rendimiento (HPC, por sus siglas en inglés), datos masivos e inteligencia artificial (IA), que admitirá aplicaciones de los ámbitos de la aeronáutica, el clima y la meteorología y la energía. ACROSS combinará las técnicas tradicionales de HPC con técnicas analíticas de IA (aprendizaje automático y aprendizaje profundo) y datos masivos para mejorar los resultados de los casos de prueba de las aplicaciones. ACROSS promoverá la cooperación con otras iniciativas de la UE y los futuros proyectos de EuroHPC a fin de fomentar la adopción de la computación a exaescala entre las partes interesadas que participan en los casos de prueba.
Objetivo
Supercomputers have been extensively used to solve complex scientific and engineering problems, boosting the capability to design more efficient systems. The pace at which data are generated by scientific experiments and large simulations (e.g. multiphysics, climate, weather forecast, etc.) poses new challenges in terms of capability of efficiently and effectively analysing massive data sets. Artificial Intelligence, and more specifically Machine Learning (ML) and Deep Learning (DL) recently gained momentum for boosting simulations’ speed. ML/DL techniques are part of simulation processes, used to early detect patterns of interests from less accurate simulation results. To address these challenges, the ACROSS project will co-design and develop an HPC, BD, and Artificial Intelligence (AI) convergent platform, supporting applications in the Aeronautics, Climate and Weather, and Energy domains. To this end, ACROSS will leverage on next generation of pre-exascale infrastructures, still being ready for exascale systems, and on effective mechanisms to easily describe and manage complex workflows in these three domains. Energy efficiency will be achieved by massive use of specialized hardware accelerators, monitoring running systems and applying smart mechanisms of scheduling jobs. ACROSS will combine traditional HPC techniques with AI (specifically ML/DL) and BD analytic techniques to enhance the application test case outcomes (e.g. improve the existing operational system for global numerical weather prediction, climate simulations, develop an environment for user-defined in-situ data processing, improve and innovate the existing turbine aero design system, speed up the design process, etc.). The performance of ML/DL will be accelerated by using dedicated hardware devices. ACROSS will promote cooperation with other EU initiatives (e.g. BDVA, EPI) and future EuroHPC projects to foster the adoption of exascale-level computing among test case domain stakeholders.
Ámbito científico
- natural sciencesearth and related environmental sciencesatmospheric sciencesmeteorology
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwaresupercomputers
- natural sciencescomputer and information sciencesdata sciencedata processing
Palabras clave
Programa(s)
Régimen de financiación
IA - Innovation actionCoordinador
10138 Torino
Italia