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LOCATION:B304
DTSTART;TZID=America/New_York:20241118T162100
DTEND;TZID=America/New_York:20241118T163800
UID:submissions.supercomputing.org_SC24_sess761_ws_hppss101@linklings.com
SUMMARY:Visualizing Workflows with the Dragon Telemetry Service
DESCRIPTION:Indira Pimpalkhare, Colin Wahl, and Maria Kalantzi (Hewlett Pa
 ckard Enterprise (HPE))\n\nThe Dragon telemetry service is an easy-to-use,
  scalable means for users to visualize both hardware and custom metrics fo
 r complex workflows. We discuss in-depth the Dragon runtime, the architect
 ure and capabilities of the telemetry service, and how the telemetry servi
 ce compares to existing tools. Use of the telemetry service is demonstrate
 d for a multi-language AI-in-the-loop workflow where both built-in hardwar
 e metrics and custom user metrics are visualized in a Grafana dashboard.\n
 \nTag: Applications and Application Frameworks, Artificial Intelligence/Ma
 chine Learning, Parallel Programming Methods, Models, Languages and Enviro
 nments\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: Suni
 ta Chandrasekaran (University of Delaware), Sam Foreman (Argonne National 
 Laboratory (ANL)), Daniel Margala (Lawrence Berkeley National Laboratory (
 LBNL)), and Pete Mendygral (Hewlett Packard Enterprise (HPE))\n\n
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