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DOE OSTI · 2545140

Performance analysis and data reduction for exascale scientific workflows

Kelly, Christopher [Brookhaven National Laboratory, Upton, NY, USA, Computational Science Department, Upton, NY, USA] (ORCID:0000000330331196)·Xu, Wei [Brookhaven National Laboratory, Upton, NY, USA, Artificial Intelligence Department, Upton, NY, USA]·Pouchard, Line C. [Center for Computing Research, Sandia National Laboratories, Albuquerque, NM, USA] (ORCID:0000000221206521)·Van Dam, Hubertus [Brookhaven National Laboratory, Upton, NY, USA, Computational Science Department, Upton, NY, USA]·Islam, Tanzima Z. [Department of Computer Science, Texas State University, San Marcos, TX, USA] (ORCID:0000000328775871)·Yoo, Shinjae [Brookhaven National Laboratory, Upton, NY, USA, Artificial Intelligence Department, Upton, NY, USA]·Kleese Van Dam, Kerstin [Brookhaven National Laboratory, Upton, NY, USA, Computing and Data Sciences Directorate, Upton, NY, USA]
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Abstract

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.

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97 MATHEMATICS AND COMPUTINGChimbukoin-situ data reductionperformance instrumentationscalabilityscientific workflows

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Kelly, Christopher [Brookhaven National Laboratory, Upton, NY, USA, Computational Science Department, Upton, NY, USA] (ORCID:0000000330331196), Xu, Wei [Brookhaven National Laboratory, Upton, NY, USA, Artificial Intelligence Department, Upton, NY, USA], Pouchard, Line C. [Center for Computing Research, Sandia National Laboratories, Albuquerque, NM, USA] (ORCID:0000000221206521), Van Dam, Hubertus [Brookhaven National Laboratory, Upton, NY, USA, Computational Science Department, Upton, NY, USA], Islam, Tanzima Z. [Department of Computer Science, Texas State University, San Marcos, TX, USA] (ORCID:0000000328775871), Yoo, Shinjae [Brookhaven National Laboratory, Upton, NY, USA, Artificial Intelligence Department, Upton, NY, USA], Kleese Van Dam, Kerstin [Brookhaven National Laboratory, Upton, NY, USA, Computing and Data Sciences Directorate, Upton, NY, USA]. 2025-03-31. Performance analysis and data reduction for exascale scientific workflows. https://doi.org/10.1177/10943420251316253

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