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    Large-Scale System Monitoring Experiences and Recommendations Workshop paper: HPCMASPA 2018

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    Type
    Conference Paper
    Authors
    Ahlgren, Ville
    Andersson, Stefan
    Brandt, Jim
    Cardo, Nicholas P.
    Chunduri, Sudheer
    Enos, Jeremy
    Fields, Parks
    Gentile, Ann
    Gerber, Richard
    Gienger, Michael
    Greenseid, Joe
    Greiner, Annette
    Hadri, Bilel
    He, Yun (Helen)
    Hoppe, Dennis
    Kaila, Urpo
    Kelly, Kaki
    Klein, Mark
    Kristiansen, Alex
    Leak, Steve
    Mason, Mike
    Pedretti, Kevin
    Piccinali, Jean-Guillaume
    Repik, Jason
    Rogers, Jim
    Salminen, Susanna
    Showerman, Mike
    Whitney, Cary
    Williams, Jim
    KAUST Department
    Computational Scientists
    Date
    2018
    Permanent link to this record
    http://hdl.handle.net/10754/670699
    
    Metadata
    Show full item record
    Abstract
    Monitoring of High Performance Computing (HPC) platforms is critical to successful operations, can provide insights into performance-impacting conditions, and can inform methodologies for improving science throughput. However, monitoring systems are not generally considered core capabilities in system requirements specifications nor in vendor development strategies. In this paper we present work performed at a number of large-scale HPC sites towards developing monitoring capabilities that fill current gaps in ease of problem identification and root cause discovery. We also present our collective views, based on the experiences presented, on needs and requirements for enabling development by vendors or users of effective sharable end-to-end monitoring capabilities.
    Citation
    Ahlgren, V., Andersson, S., Brandt, J., Cardo, N., Chunduri, S., Enos, J., … Williams, J. (2018). Large-Scale System Monitoring Experiences and Recommendations. 2018 IEEE International Conference on Cluster Computing (CLUSTER). doi:10.1109/cluster.2018.00069
    Sponsors
    This research was supported by and used resources of the Argonne Leadership Computing Facility, which is a U.S. Department of Energy Office of Science User Facility operated under contract DE-AC02-06CH11357. This document is approved for release under LA-UR-18-26485.
    Publisher
    IEEE
    Conference/Event name
    2018 IEEE International Conference on Cluster Computing, CLUSTER 2018
    ISBN
    9781538683194
    DOI
    10.1109/CLUSTER.2018.00069
    Additional Links
    https://ieeexplore.ieee.org/document/8514913/
    ae974a485f413a2113503eed53cd6c53
    10.1109/CLUSTER.2018.00069
    Scopus Count
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