In this talk, a tool that handles Darshan data, called HarshaD is presented. The tool visualizes Darshan data without the user being aware of the procedure. Moreover, you can compare two Darshan output to understand how your modifications impact on IO.

1. Handle Darshan Data
(HarshaD)
George Markomanolis
Computational Scientist
KAUST Supercomputing Laboratory
georgios.markomanolis@kaust.edu.sa
7 November 2017
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2. Using Darshan tool
— Have you ever used Darshan tool?
— If the answer is “I don’t know, probably not”, and you are using Shaheen 2 or Cori, then
maybe you have used it, as it is enabled automatic on Shaheen II and Cori.
— KAUST Supercomputing Laboratory (KSL) provides a framework to provide you easy
access to performance data from Darshan:
— Visit web page https://kaust-ksl.github.io/HArshaD/ for instructions. The framework is
supported on both Shaheen and Cori.
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3. HArsaD I
— Connect to Shaheen with –X (for Windows/Linux) or –Y (for Mac)
— git clone https://github.com/KAUST-KSL/HArshaD.git
— Get the Darshan performance data from your last experiment, execute:
— ./open_darshan.sh
— Get the Darshan performance data from the job id 65447, execute:
— ./open_darshan.sh 65447
— Compare Darshan perfromance data from job id 65447 and 65448,
execute:
— ./compare_darshan 65447 65448
— You need extra tool, check the github link for instructions
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4. HArshaD II - Comparison
— In case that you want to compare the execution of two applications, execute:
— compare_darshan.sh job1_id job2_id
— One PDF file, with the Darshan performance data of both executions, is created
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5. Quantum Espresso – Darshan results I
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6. Quantum Espresso – Darshan results II
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7. Quantum Espresso – Darshan results III
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8. Quantum Espresso – Darshan results IV
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9. Quantum Espresso – Darshan results V
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10. Quantum Espresso – Darshan results VI
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11. S3D – Darshan I
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12. S3D – Darshan II
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13. Conclusions
— A suite of tools to use Darshan without knowing a lot of details was presented
— Explanations of how to read Darshan output
— Use the tools! https://kaust-ksl.github.io/HArshaD Provide feedback, we can add possible
functionalities
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14. Thank you!
Questions?
georgios.markomanolis@kaust.edu.sa
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