• Multi-criteria analysis and op...

Treffer: Multi-criteria analysis and optimization in the AMPERE ecosystem

Title:
Multi-criteria analysis and optimization in the AMPERE ecosystem
Authors:
Royuela Alcázar, Sara, Munera Sánchez, Adrián, Quiñones Moreno, Eduardo, Carvalho, Tiago, Pinho, Luis Miguel, Samadi Gharajeh, Mohammad, Cucinotta, Tommaso, Ara, Gabriele, Paladino, Francesco, Mazzola, Sergio, Benz, Thomas
Contributors:
Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors, Barcelona Supercomputing Center
Publisher Information:
Association for Computing Machinery (ACM)
Publication Year:
2024
Collection:
Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge
Subject Terms:
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors::Arquitectures paral·leles, Parallel processing (Electronic computers), Real-time data processing, Energy consumption, Multi-criteria optimization, AMPERE, Processament en paral·lel (Ordinadors), Temps real (Informàtica), Energia -- Consum
Document Type:
Fachzeitschrift article in journal/newspaper
File Description:
6 p.; application/pdf
Language:
English
Relation:
info:eu-repo/grantAgreement/EC/H2020/871669/EU/A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimisation/AMPERE; http://hdl.handle.net/2117/410631
DOI:
10.1145/3672359.3672375
Availability:
http://hdl.handle.net/2117/410631
https://doi.org/10.1145/3672359.3672375
Rights:
Open Access
Accession Number:
edsbas.AC14F7A1
Database:
BASE

Weitere Informationen

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. ; This research has been co-funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871669, in the context of the AMPERE project. ; Peer Reviewed ; Postprint (author's final draft)