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PAPER DOI: 10.1109/IRPS48228.2024.10529436

poster

IRPS 2024 Main Conference

April 17, 2024

Dallas, United States

Possible Origins, Identification, and Screening of Silent Data Corruption in Data Centers

Recent studies from Google and Facebook independently reported that in their large-scale server facilities, certain instructions were executed by specific CPU cores incorrectly. In a large server fleet, these errors often go undetected and hence are termed "silent". In this work, we investigate how individual defects within a device, when combined with background aging, can manifest as a critical fault in a logic path and potentially lead to corrupt execution errors in a multi-core system. 

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Impact of Edge and Basal Plane Oxidation on the Stability of Oxygen Doped MoS2-RRAM

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Suman Gora and 3 other authors

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