HPC: Key Technologies and Tools

The EU ACROSS project will codesign and develop an HPC, Big Data, AI convergent platform, supporting applications in the aeronautics, climate and weather, and energy domains. To this end, it 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.

Duration: 36 months   
Total cost: € 8 815 845   
Project link: https://www.acrossproject.eu/   
Topic: EuroHPC-02-2019 - HPC and data centric environments and application platforms

 

CINI Units involved

 

University of Florence

The HTC-Group at the University of Florence has a recognized experience in the field of experimental and numerical modeling of heat transfer and combustion in turbomachinery. Most of the activities have been carried out in the participation to more than 15 EU research projects during the last 20 years often as a key partner of AVIO Aero. Concerning the numerical modeling, UNIFI is involved in the definition of multi-scale and multi-physics CFD methods for the investigation of conjugate heat transfer and reactive flows processes to support the aeronautical combustor pilot.

University of Turin

The Computer Science department of the University of Torino participates with the Parallel Computing research group, counting the participation in over 15 EU projects in the parallel computing area and coordinating the regional HPC4AI federated center. The group is interested in parallel and distributed programming models, languages, and architectures, and it is focused on developing and operating novel middleware tools for the HPC-AI convergence in different areas, including health, life science, genomics, chemistry, physics. In ACROSS, the group is mainly involved in the multi-level orchestration system design and development.

University of Genoa

The department of Mechanical Engineering of the University of Genoa is active in the field of experimental and numerical analysis of the unsteady aerodynamics of gas turbine components, counting the participation in over eight EU projects in the field of turbomachinery, with a long term (over 20 years) collaboration with AVIO Aero. It is devoted to developing data analysis routines for the study of Big Data in the field of fluid machinery.

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