Conference
Comparison of GPU computing methodologies for safety-critical systems: an avionics case study
| Title: | Comparison of GPU computing methodologies for safety-critical systems: an avionics case study |
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| Authors: | Benito Bermúdez, Marc, Trompouki, Matina Maria, Kosmidis, Leonidas, García Martín, David, Carretero Jiménez, Sergio, Wenger, Ken |
| Contributors: | Barcelona Supercomputing Center, Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions |
| Publisher Information: | IEEE |
| Publication Year: | 2021 |
| Collection: | Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge |
| Subject Terms: | Àrees temàtiques de la UPC::Aeronàutica i espai::Aviònica, Àrees temàtiques de la UPC::Informàtica::Enginyeria del software, Avionics, Computer software -- Development, Computer software -- Reliability, Safety-critical systems, OpenGL SC 2.0, Brook Auto/BRASIL, State-of-the art, Aviònica, Programari -- Desenvolupament, Programari -- Fiabilitat |
| Description: | Introducing advanced functionalities in safety-critical systems requires using more powerful architectures such as GPUs. However software in safety-critical industries is subject to functional certification, which cannot be achieved using standard GPU programming languages such as CUDA and OpenCL. Fortunately, GPUs are already used in certified critical systems for display tasks, using safety-certified solutions such as OpenGL SC 2.0. In this paper, we compare two state-of-the art graphics-based methodologies, OpenGL SC 2.0 and Brook Auto/BRASIL for the implementation of a prototype avionics case study. We evaluate both methods on a realistic industrial setup, composed by an avionics-grade GPU and a safety-certified GPU driver in terms of development metrics and performance, showing their feasibility. ; This work was funded by the Airbus TANIA-GPU Project ADS (E/200). It was also partially supported by the Spanish Ministry of Economy and Competitiveness under grants PID2019-107255GB and FJCI-2017-34095 and HiPEAC. ; Peer Reviewed ; Postprint (author's final draft) |
| Document Type: | conference object |
| File Description: | 2 p.; application/pdf |
| Language: | English |
| Relation: | https://ieeexplore.ieee.org/document/9474060; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107255GB-C22/ES/UPC-COMPUTACION DE ALTAS PRESTACIONES VIII/; https://hdl.handle.net/2117/348962 |
| DOI: | 10.23919/DATE51398.2021.9474060 |
| Availability: | https://hdl.handle.net/2117/348962 https://doi.org/10.23919/DATE51398.2021.9474060 |
| Rights: | Open Access |
| Accession Number: | edsbas.53678244 |
| Database: | BASE |
| DOI: | 10.23919/DATE51398.2021.9474060 |
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