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- W4286220308 abstract "Graphics Processing Unit (GPU) devices and their associated software programming languages and frameworks can deliver the computing performance required to facilitate the development of next-generation high-performance safety-critical systems such as autonomous driving systems. However, the integration of complex, parallel, and computationally demanding software functions with different safety-criticality levels on GPU devices with shared hardware resources contributes to several safety certification challenges. This survey categorizes and provides an overview of research contributions that address GPU devices’ random hardware failures, systematic failures, and independence of execution." @default.
- W4286220308 created "2022-07-21" @default.
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- W4286220308 creator A5070877994 @default.
- W4286220308 date "2022-12-15" @default.
- W4286220308 modified "2023-10-01" @default.
- W4286220308 title "GPU Devices for Safety-Critical Systems: A Survey" @default.
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