Use Cases

Automotive Digital Twins with IoT-Cloud Interoperability​

motorbike

  • Objective

    The creation of digital twins between the riders and their powered two-wheelers (PTWs).

  • Challenges

    • Stringent requirements for deploying automotive-grade software stacks and infrastructures on cloud while ensuring data privacy, GDPR compliance, protection against fraud, interoperability, access to emergency services, and compliance regarding the combination of radio equipment and software.

    • Complex IoT infrastructure.

  • AERO solution

    AERO will not only enable the migration of automotive software stack to EU cloud infrastructure, but will also optimize it in terms of performance and energy efficiency by harnessing the security and custom accelerators of the EU processor.

  • Objective

    The creation of digital “twins” between the riders and their powered two-wheelers (PTWs).

  • Challenge

    - Stringent requirements for deploying automotive-grade software stacks and infrastructures on cloud while ensuring data privacy, GDPR compliance, protection against fraud, interoperability, access to emergency services, and compliance regarding the combination of radio equipment and software.
    - Complex IoT infrastructure

  • AERO solution

    AERO will not only enable the migration of automotive software stack to EU cloud infrastructure, but will also optimize it in terms of performance and energy efficiency by harnessing the security and custom accelerators of the EU processor.

High Performance Algorithms for Space Exploration (Gaia)

saturn

  • Objective

    Deployment and efficient execution of the complex scientific computing required for processing data gathered by the European Space Agency Gaia mission.

  • Challenges

    • Process efficiently constantly increasing volumes of data.

    • Leverage GPU acceleration via Java APIs.

  • AERO solution

    AERO will demonstrate how the EU cloud can serve the EU scientific community towards faster data processing and delivery. AERO will allow the harnessing of the hardware acceleration capabilities of the EU processor (GPUs and RISC-V co-processors) through the integration of existing codebases with TornadoVM and the rest of the acceleration services that will be developed within the project.

HPC/Cloud Database Acceleration for Scientific Computing

database-storage

  • Objective

    Scale the performance of one of the largest relational database management system deployments in the scientific world.

  • Challenges

    • Move calculations to data.

    • Enable GPU computations directly within the database.

  • AERO solution

    AERO will enable the DBMS to achieve higher performance on the EU cloud infrastructure via leveraging the heterogeneous hardware acceleration existing in the EU processor (GPUs and RISC-V co-processors).