Sara Royuela, Adrian Munera, Eduardo Quiñones, Tiago Carvalho, Luís Miguel Pinho, Mohammad Samadi, Tommaso Cucinotta, Gabriele Ara, Francesco Paladino, Sergio Mazzola, Thomas Benz
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Multi-criteria Analysis and Optimization in the AMPERE Ecosystem
The AMPERE project is developing the next generation of high-performance and energy efficient Cyber-Physical Systems supporting multi-criteria optimization. This paper provides the general overview of the AMPERE approach to analyse and optimize parallel real-time applications in heterogeneous platforms. More specifically, it details how parallel OpenMP programs are generated from AMALTHEA models, and the multi-criteria optimization methodology, considering the fault-tolerance, time and energy properties of the targeted applications.
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