Abstract: The massive computational requirements of large language model (LLMs) have increased the need for high-bandwidth memory (HBM), which involves high-volume data transfers. The high cell ...
Abstract: Noting that single mode fault diagnosis methods have limitations in complex fault detection, and single fault diagnosis models have low accuracy and robustness, this article proposes a ...
Conan is a novel fuzzing-driven fault injection approach which can effectively generate fault sequences and reveal consensus issues in distributed databases. We observe that state changes improve the ...
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