Runtime Performance Anomaly Diagnosis in Production HPC Systems Using Active Learning-Reference-Cited by-同舟云学术

Runtime Performance Anomaly Diagnosis in Production HPC Systems Using Active Learning

Published:2024-04 Issue:4 Volume:35 Page:693-706
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Aksar Burak¹^ORCID,Sencan Efe¹^ORCID,Schwaller Benjamin²^ORCID,Aaziz Omar²^ORCID,Leung Vitus J.²^ORCID,Brandt Jim²^ORCID,Kulis Brian¹^ORCID,Egele Manuel¹^ORCID,Coskun Ayse K.¹^ORCID

Affiliation:

1. Electrical and Computer Engineering Department, Boston University, Boston, MA, USA

2. Sandia National Laboratories, Albuquerque, NM, USA

Funder

Sandia National Laboratories

National Technology and Engineering Solutions of Sandia, LLC.

Honeywell International, Inc.

U.S. Department of Energy's National Nuclear Security Administration

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/71/10438218/10433672-aam.pdf

Reference46 articles.

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3. There goes the neighborhood

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5. Systemic Assessment of Node Failures in HPC Production Platforms

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