2026-09-21T10:00:45Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/129342 2025-10-20 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

application/pdf en text Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms The student, Ziheng Chen, accepted the attached license on 2025-05-07 at 16:54. The student, Ziheng Chen, submitted this Thesis for approval on 2025-05-07 at 17:09. This Thesis was approved for publication on 2025-05-08 at 14:04. DSpace SAF Submission Ingestion Package generated from Vireo submission #22258 on 2025-10-19 at 18:13:49 Enhancing safety and resilience in AI-driven systems: from autonomous vehicles to data centers Chen, Ziheng 2025-05-08 Iyer, Ravishankar K. Dependable Systems Autonomous Vehicles Gpu Resilience High-performance Computing eng Artificial intelligence (AI) has been widely adopted due to its advanced capabilities, finding applications in autonomous vehicles and, more recently, in large language models (LLMs) powered by transformers. As AI systems continue to expand in scope and influence, ensuring their reliability and robustness becomes increasingly critical, particularly in unforeseen scenarios where failures can have significant consequences. Furthermore, given the substantial computational and economic costs associated with training and deploying large-scale models, which often require extensive GPU clusters, the underlying infrastructure must be highly fault-tolerant to maintain efficiency and stability. This thesis presents our work on iPrism, a framework designed to enhance the safety of autonomous vehicles by reducing collision rates through AI-driven risk assessment and mitigation. This thesis also discusses the work Characterizing GPU Resilience and Impact on AI/HPC Systems, which examines GPU failure patterns in the Delta Supercomputer to improve system reliability. 2025-05 Text https://hdl.handle.net/2142/129342 Copyright 2025 Ziheng Chen Electrical & Computer Eng Electrical & Computer Engr University of Illinois Urbana-Champaign M.S. Thesis