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cs.AR2026
Lifecycle Cost-Effectiveness Modeling for Redundancy-Enhanced Multi-Chiplet Architectures
Zizhen Liu, Fangzhiyi Wang, Mengdi Wang +4
The growing demand for compute-intensive applications has made multi-chiplet architectures a promising alternative to monolithic designs, offering improved scalability and manufact…
cs.AR2025
Analysis of LLM Vulnerability to GPU Soft Errors: An Instruction-Level Fault Injection Study
Duo Chai, Zizhen Liu, Shuhuai Wang +4
Large language models (LLMs) are highly compute- and memory-intensive, posing significant demands on high-performance GPUs. At the same time, advances in GPU technology driven by s…