Data Center Silent Data Errors: Implications to Artificial Intelligence Workloads & Mitigations | IEEE Conference Publication | IEEE Xplore

Data Center Silent Data Errors: Implications to Artificial Intelligence Workloads & Mitigations


Abstract:

Silent Data Errors (SDEs) are a unique category of errors that result in unpredictable system behavior that is often difficult to detect. SDEs can represent a serious con...Show More

Abstract:

Silent Data Errors (SDEs) are a unique category of errors that result in unpredictable system behavior that is often difficult to detect. SDEs can represent a serious concern to at-scale compute in data center operations. [1], [2] This paper reviews data collected on SDE impacts to Artificial Intelligence (AI) workloads and Intel's SDE mitigation tools available for use in the data center.
Date of Conference: 14-18 April 2024
Date Added to IEEE Xplore: 16 May 2024
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Conference Location: Grapevine, TX, USA

References

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