Uploaded March 2021 | Updated September 2026, 18 hours ago
The newest functionalities in cars and trams allow them to move safely and operate more efficiently, while having to process in real-time an ever-increasing number of events.
The use of computing platforms with high-performance capabilities is necessary to cope with the performance requirements of such functionalities, while accurately fulfilling non-functional requirements such as real-time response, energy-efficiency, safety & cyber-security, and resiliency.
Developers face the challenge of leveraging low-energy, highly-parallel and heterogeneous computation in their model-based development process, while fulfilling the non-functional constraints inherited from the cyber-physical interaction.
There is therefore a strong need to bridge the gap between model-driven engineering and parallel programming models used to exploit high-performance capabilities, and guarantee the fulfillment of non-functional requirements.
AMPERE will bridge this gap by developing a novel software architecture that will increase productivity in development, and will efficiently exploit parallel and heterogeneous processor architectures, fulfilling non-functional requirements as needed by advanced functionalities.
To do so, AMPERE will automatically transform the model-based representations of advanced automotive and railway functionalities, into parallel programming models supported by the underlying processor architectures including high-performance features.
AMPERE, overcoming the challenges of developing traditional cyber-physical systems.
The newest functionalities in cars and trams allow them to move safely and operate more efficiently, while having to process in real-time an ever-increasing number of events.
The use of computing platforms with high-performance capabilities is necessary to cope with the performance requirements of such functionalities, while accurately fulfilling non-functional requirements such as real-time response, energy-efficiency, safety & cyber-security, and resiliency.
Developers face the challenge of leveraging low-energy, highly-parallel and heterogeneous computation in their model-based development process, while fulfilling the non-functional constraints inherited from the cyber-physical interaction.
There is therefore a strong need to bridge the gap between model-driven engineering and parallel programming models used to exploit high-performance capabilities, and guarantee the fulfillment of non-functional requirements.
AMPERE will bridge this gap by developing a novel software architecture that will increase productivity in development, and will efficiently exploit parallel and heterogeneous processor architectures, fulfilling non-functional requirements as needed by advanced functionalities.
To do so, AMPERE will automatically transform the model-based representations of advanced automotive and railway functionalities, into parallel programming models supported by the underlying processor architectures including high-performance features.
AMPERE, overcoming the challenges of developing traditional cyber-physical systems.
