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Highlights
Launched on 1 January and coordinated by Barcelona Supercomputing Center (BSC), the European project AMPERE (A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimisation) will implement an innovative software architecture that takes into account the non-functional requirements inherited from the cyber-physical interactions, such as time predictability, energy-efficiency, safety and security.
Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimisation
Fully exploiting the benefits of performance demanding emerging technologies such as artificial intelligence or big data analytics.
Provide a system design ecosystem optimised for Cyber-Physical Systems.
Provide a computer software ecosystem capable of efficiently exploiting advanced energy-efficient and parallel heterogeneous platforms.
Integrate AMPERE software solutions into two relevant industrial markets, i.e., automotive and railway
Viola Sorrentino is System Engineering Manager at Thales Italia. In this interview, Viola talks about her experience as a woman in STEM and as a member of the AMPERE team.
The rising number of ECUs in a car (already in the order of one hundred in luxury vehicles) together with the recent availability of powerful and inexpensive multi-core SoCs, has triggered the interest of automotive OEMs in centralizing the computing resources. The number of processing units in embedded chips is expected to grow, as do the functionalities requiring computing in modern autonomous vehicles. Thus, the automotive market has identified a business opportunity consisting of a reduction of the recurrent costs by combining different functionalities onto the same ECU. The AMPERE project has now achieved another milestone in solving this challenge.
The AMPERE consortium is organizing a tutorial titled 'Parallel programming with Ada and OpenMP' at the 25th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2021).