AMPERE
A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimisation
| ICT-01-2019-RIA | grant nr. 871669 42 months (Jan 2020 to Jun 2023) https://ampere-euproject.eu/ | |
| Summary: | Complex, dependable and physically-entangled systems of systems must be supported by innovations to allow a significant reduction of the cost and complexity of system design targeting computing platforms composed of parallel heterogeneous architectures. Software development is one key challenge, as current programming tools do not fully support emerging processor architectures. Parallel and heterogeneous platforms are difficult to program and even more to optimise for the multiple conflicting criteria imposed by applications, such as performance, energy efficiency, real-time response, resiliency and fault tolerance. AMPERE addresses this challenge by incorporating model-driven engineering (MDE) as the key element for the construction of complex software architectures. MDE enables to efficiently capture system's functional and non-functional requirements, including multiple conflicting requirements, as well as enabling the use of domain specific model-driven languages (DSML) to further refine the description of cyber/physical interactions. The vision of AMPERE is that there is a clear necessity of developing a new generation of code synthesis methods and tools capable to implement correct-by-construction systems, in which the constraints captured by the system model are efficiently transformed to the parallel programming models supported by the underlying parallel heterogeneous platform, whilst providing the level of performance required. Moreover, AMPERE will provide computing software composed of a set of advanced run-time methods implementing monitoring and dynamic reconfiguration techniques, that will support the parallel execution to improve the overall system's efficiency, and guarantee that the non-functional requirements capture by the DSML are fulfilled. AMPERE advances will be integrated in a set of ready-touse tools and libraries, and validated through demonstration in two reference applications, from automotive and railway domains. |
| Funding: | Global: 5MEUR, CISTER: 326KEUR |
| Sponsors: |   |
| Partners: | |
| Contact Person at CISTER: | Luis Miguel Pinho |
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Conference or Workshop Papers/Talks
Configuration of Parallel Real-Time Applications on Multi-Core Processors CISTER-TR-220702
Mohammad Samadi Gharajeh, Tiago Carvalho, Luis Miguel Pinho20th IEEE International Conference on Industrial Informatics (INDIN 2022). 2022, Real-time and networked embedded computing, industrial IoT technologies and applications. Perth, Australia.
Mohammad Samadi Gharajeh, Tiago Carvalho, Luis Miguel Pinho20th IEEE International Conference on Industrial Informatics (INDIN 2022). 2022, Real-time and networked embedded computing, industrial IoT technologies and applications. Perth, Australia.
Heuristic-based Task-to-Thread Mapping in Multi-Core Processors CISTER-TR-220903
Mohammad Samadi Gharajeh, Sara Royuela, Luis Miguel Pinho, Tiago Carvalho, Eduardo QuiñonesIEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA 2022). 2022, Analysis of real-time applications. Stuttgart, Germany.
Mohammad Samadi Gharajeh, Sara Royuela, Luis Miguel Pinho, Tiago Carvalho, Eduardo QuiñonesIEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA 2022). 2022, Analysis of real-time applications. Stuttgart, Germany.
The AMPERE Project: A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimization CISTER-TR-200712
Eduardo Quiñones, Sara Royuela, Claudio Scordino, Paolo Gai, Luis Miguel Pinho, Luis Miguel Nogueira, Jan Rollo, Tommaso Cucinotta, Alessandro Biondi, Arne Hamann, Dirk Ziegenbein, Hadi Saoud, Romain Soulat, Björn Forsberg, Luca Benini, Gianluca Mandò, Luigi Rucher23rd IEEE International Symposium on Real-Time Distributed Computing (ISORC 2020). 19 to 21, May, 2020, pp 201-206. Online.
Eduardo Quiñones, Sara Royuela, Claudio Scordino, Paolo Gai, Luis Miguel Pinho, Luis Miguel Nogueira, Jan Rollo, Tommaso Cucinotta, Alessandro Biondi, Arne Hamann, Dirk Ziegenbein, Hadi Saoud, Romain Soulat, Björn Forsberg, Luca Benini, Gianluca Mandò, Luigi Rucher23rd IEEE International Symposium on Real-Time Distributed Computing (ISORC 2020). 19 to 21, May, 2020, pp 201-206. Online.
PDF