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Audiovisual . 2024
License: CC BY
Data sources: Datacite
ZENODO
Audiovisual . 2024
License: CC BY
Data sources: Datacite
ZENODO
Audiovisual . 2024
License: CC BY
Data sources: Datacite
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Visualizing Workflows with the Dragon Telemetry Service

Authors: Pimpalkhare, Indira; Wahl, Colin; Kalantzi, Maria;

Visualizing Workflows with the Dragon Telemetry Service

Abstract

The Dragon telemetry service is an easy-to-use, scalable means for users to visualize both hardware and custom metrics for complex workflows. Dragon is a high-performance distributed runtime for managing processes and data at-scale. It utilizes high-performance communication objects to enable efficient and transparent management of memory and movement of data. We demonstrate the use of the telemetry service for a multi-language AI-in-the-loop workflow where both built-in hardware metrics and custom user metrics are visualized in a Grafana dashboard.

Keywords

distributed computing, HPC, visualizations, Telemetry, workflows, Python

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average