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Safety-Related Challenges and Opportunities for GPUs in the Automotive Domain., , , , , и . IEEE Micro, 38 (6): 46-55 (2018)GPU4S: Embedded GPUs in Space - Latest Project Updates., , , , , , , , и . CoRR, (2021)SafeDM: a Hardware Diversity Monitor for Redundant Execution on Non-Lockstepped Cores., , , , , и . DATE, стр. 358-363. IEEE, (2022)NimbleAI: Towards Neuromorphic Sensing-Processing 3D-integrated Chips., , , , , , , , , и 39 other автор(ы). DATE, стр. 1-6. IEEE, (2023)Achieving Diverse Redundancy for GPU Kernels., , , и . IEEE Trans. Emerg. Top. Comput., 10 (2): 618-634 (2022)GPU4S: Major Project Outcomes, Lessons Learnt and Way Forward., , , , , , , и . DATE, стр. 1314-1319. IEEE, (2021)A Software-Only Approach to Enable Diverse Redundancy on Intel GPUs for Safety-Related Kernels., , , , , , , , и . SAC, стр. 451-460. ACM, (2023)DIMP: A Low-Cost Diversity Metric Based on Circuit Path Analysis., , , и . DAC, стр. 45:1-45:6. ACM, (2017)Software-only Diverse Redundancy on GPUs for Autonomous Driving Platforms., , , и . IOLTS, стр. 90-96. IEEE, (2019)Software-only based Diverse Redundancy for ASIL-D Automotive Applications on Embedded HPC Platforms., , , и . DFT, стр. 1-4. IEEE, (2020)