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Mango-IO: I/O Metrics Consistency Analysis

<p>Performance tools are inseparable from complex HPC applications&#39; performance analysis and engineering life cycles. Due to the application&#39;s complexity, various performance analysis tools are created to serve different analysis purposes and provide a deeper look at certain aspects of the applications. Although these tools might operate differently, having coherent information and consistent metrics across all tools is mandatory for ensuring analysis continuity. It is common for performance analysts to switch their usual performance tools due to various reasons and limitations. In this work, we look specifically at the I/O performance analysis tools landscape and introduce Mango-IO to verify the result consistencies between tools and provide tool-agnostic metrics calculation methods. Our analysis and case study provides lesson learned and guideline for ensuring measurement continuity and comparability.</p> <p>This is the collection of traces used in the paper.</p>

ShareScore

24/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
8
Reuse readiness
8
Engagement
0

Dataset details

Repository
zenodo
Published
August 20, 2023
License
Not reported
DOI
10.5281/zenodo.8269690

Scored with release 0.9.0

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