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Leveraging NVML GPM for NVIDIA GPU Monitoring

; ; ;

In
Proceedings of the Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region Workshops, Seiten/Artikel-Nr: 59-68

Konferenz/Event:SCA/HPCAsia 2026 Workshops: Supercomputing Asia and International Conference on High Performance Computing in Asia Pacific Region Workshops , Osaka , Japan , SCA/HPCAsiaWS 2026 , 2026-01-26 - 2026-01-29

Impressum[Erscheinungsort nicht ermittelbar] : Association for Computing Machinery

Umfang59-68

ISBN979-8-4007-2328-5, 9798400723285

ReiheACM Other conferences

Online
DOI: 10.1145/3784828.3785156

DOI: 10.18154/RWTH-2026-05038
URL: https://publications.rwth-aachen.de/record/1035634/files/1035634.pdf

Einrichtungen

  1. Lehrstuhl für Hochleistungsrechnen (Informatik 12) (123010)
  2. IT Center (022000)

Projekte

  1. IT-Zauber : Betriebsoptimierung energieeffizienter Rechenzentren durch die Verwendung digitaler Zwillinge (16ME0614) (16ME0614)
  2. POP3 - Performance Optimisation and Productivity 3 (101143931) (101143931)

Inhaltliche Beschreibung (Schlagwörter)
Cluster Workload Analysis (frei) ; Energy Consumption (frei) ; High Performance Computing (frei) ; NVIDIA GPU Monitoring (frei) ; NVML GPM Metrics (frei)

OpenAccess:
Download fulltext PDF

Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105032077251

Interne Identnummern
RWTH-2026-05038
Datensatz-ID: 1035634

Beteiligte Länder
Germany

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Creative Commons Attribution CC BY 4.0 ; OpenAccess

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022000

 Record created 2026-05-11, last modified 2026-06-01


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