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

Authors :
Barcelona Supercomputing Center
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
Barcelona Supercomputing Center
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
Publication Year :
2020

Abstract

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.<br />This work has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement no. 871467.<br />Peer Reviewed<br />Postprint (author's final draft)

Details

Database :
OAIster
Notes :
8 p., application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1224047005
Document Type :
Electronic Resource