Operational Data Analytics in practice: Experiences from design to deployment in production HPC environments-Reference-Cited by-同舟云学术

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Operational Data Analytics in practice: Experiences from design to deployment in production HPC environments

Published:2022-10 Issue: Volume:113 Page:102950
ISSN:0167-8191
Container-title:Parallel Computing
language:en
Short-container-title:Parallel Computing

Author:

Netti Alessio,Ott Michael,Guillen Carla,Tafani Daniele,Schulz Martin

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference50 articles.

1. Analyzing and mitigating the impact of manufacturing variability in power-constrained supercomputing;Inadomi,2015

2. Toward exascale resilience: 2014 update;Cappello;Supercomput. Front. Innov.,2014

3. Scaling the power wall: a path to exascale;Villa,2014

4. Operational data analytics: Optimizing the national energy research scientific computing center cooling systems;Bourassa,2019

5. The PerSyst monitoring tool - a transport system for performance data using quantiles;Guillen,2014

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC systems;Future Generation Computer Systems;2024-11

2. Prodigy: Towards Unsupervised Anomaly Detection in Production HPC Systems;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11

3. Rule-Based Thermal Anomaly Detection for Tier-0 HPC Systems;Lecture Notes in Computer Science;2022

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