Academic Journal

SELENE: Self-Monitored Dependable Platform for High-Performance Safety-Critical Systems

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: SELENE: Self-Monitored Dependable Platform for High-Performance Safety-Critical Systems
Συγγραφείς: Hernández, Carles, Flieh, Jose, Paredes, Roberto, Lefebvre, Charles-Alexis, Allende, Imanol, Abella Ferrer, Jaume, Trillin, David, Matschnig, Martin, Fischer, Bernhard, Schwarz, Konrad, Kiszka, Jan, Rönnbäck, Martin, Klockars, Johan, Mc Guire, Nicholas, Rammerstorfer, Franz, Schwarzl, Christian, Wartet, Franck, Lüdemann, Dierk, Labayen, Mikel
Συνεισφορές: Barcelona Supercomputing Center, Departamento de Informática de Sistemas y Computadores, Departamento de Sistemas Informáticos y Computación, Escuela Técnica Superior de Ingeniería Informática, Grupo de Arquitecturas Paralelas, Centro de Investigación Pattern Recognition and Human Language Technology, Repositorio Institucional de la Universitat Politècnica de València Riunet
Πηγή: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
Universitat Politècnica de València (UPV)
2020 23rd Euromicro Conference on Digital System Design (DSD)
Στοιχεία εκδότη: IEEE, 2020.
Έτος έκδοσης: 2020
Θεματικοί όροι: Intelligent agents (Computer software), SELENE, 02 engineering and technology, Open source software, Open source, 7. Clean energy, Autonomous systems, ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES, open source, High-performance computing, Agents intel·ligents (Programari), Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors, 0202 electrical engineering, electronic engineering, information engineering, High performance computing, Safety, LENGUAJES Y SISTEMAS INFORMATICOS, Informàtica::Arquitectura de computadors [Àrees temàtiques de la UPC]
Περιγραφή: Existing HW/SW platforms for safety-critical systems suffer from limited performance and/or from lack of flexibility due to building on specific proprietary components. This jeopardizes their wide deployment across domains. While some research has been done to overcome these limitations, they have had limited success owing to missing flexibility and extensibility. Flexibility and extensibility are the cornerstones of industry adoption: industries dealing in capital goods need technologies on which they can rely on during decades (e.g. avionics, space, automotive). SELENE aims at covering this gap by proposing a new family of safety-critical computing platforms, which builds upon open source components such as the RISC-V instruction set architecture, GNU/Linux, and the Jailhouse hypervisor. SELENE will develop an advanced computing platform that is able to: (1) adapt the system to the specific requirements of different application domains, to changing environmental conditions, and to internal conditions of the system itself; (2) allow the integration of applications of different criticalities and performance demands in the same platform, guaranteeing functional and temporal isolation properties; (3) achieve flexible diverse redundancy by exploiting the inherent redundant capabilities of the multicore; and (4) efficiently execute compute-intensive applications by means of specific accelerators.
This work has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement no. 871467.
Τύπος εγγράφου: Article
Conference object
Περιγραφή αρχείου: application/pdf
DOI: 10.1109/dsd51259.2020.00066
DOI: 10.13039/100010661
DOI: 10.13039/501100000780
Σύνδεσμος πρόσβασης: https://upcommons.upc.edu/bitstream/2117/331679/1/camera_ready.pdf
http://hdl.handle.net/2117/331679
https://riunet.upv.es/handle/10251/166874
https://dspace.upv.es/handle/10251/166874
https://riunet.upv.es/handle/10251/166874
https://upcommons.upc.edu/handle/2117/331679
https://dblp.uni-trier.de/db/conf/dsd/dsd2020.html#HernandezFPLAAT20
https://doi.org/10.1109/DSD51259.2020.00066
https://hdl.handle.net/10251/166874
https://doi.org/10.1109/dsd51259.2020.00066
https://hdl.handle.net/2117/331679
https://doi.org/10.1109/dsd51259.2020.00066
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IEEE Copyright
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Αριθμός Καταχώρησης: edsair.doi.dedup.....e021881e6cfdec74639c376ca0ea54b3
Βάση Δεδομένων: OpenAIRE
Περιγραφή
DOI:10.1109/dsd51259.2020.00066