Comparison of GPU computing methodologies for safety-critical systems: an avionics case study
Document typeConference report
Rights accessOpen Access
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.
CitationBenito, M. [et al.]. Comparison of GPU computing methodologies for safety-critical systems: an avionics case study. A: Design, Automation and Test in Europe Conference and Exhibition. "Proceedings of the 2021 Design, Automation & Test in Europe (DATE 2021): 01–05 February 2021, virtual conference". IEEE 2021, p. 717-718.
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