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Performance analysis and data reduction for exascale scientific workflows

delete2025-03-01
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PRE
AI
C
Christopher Kelly *
W
Wei Xu *
L
Line Pouchard
H
Hubertus J. J. van Dam
T
Tanzima Islam
S
Shinjae Yoo
K
Kerstin Kleese van Dam
DOI:10.1177/10943420251316253delete
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Abstract

Abstract

En 中文
Chimbuko is the first in situ, scalable, workflow-level performance analysis tool for trace-level analysis and visualization of application performance. This tool was developed by the Co-design Center for Online Data Analysis and Reduction and funded by the U.S. Department of Energy's Exascale Computing Project. We provide a detailed description of Chimbuko's architecture and illustrate our online and offline visualization with multiple use cases. We also present results for the deployment and scalability of the tool as applied to a high-energy physics workflow running at large scale on the Frontier supercomputer.
Keywords:
Chimbuko
in-situ data reduction
scientific workflows
performance instrumentation
scalability

Journal

International Journal of High Performance Computing Applications cover
International Journal of High Performance Computing Applications
IF:
2.5
Papers:
1.1K
Citations:
1.3K

Organization

U
united states department of energy (doe)
Scholars:
11.3W
Papers: 9.6W
Citations: 246
S
Sandia National Laboratories
Scholars:
5.4K
Papers: 3.7K
Citations: 6.4K