Plotting and Interpreting Results
Benchmarking & Scaling Tutorial/Results /
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Revision as of 11:26, 11 March 2022 by Sebastian-potthoff-3c73@uni-muenster.de (talk | contribs)
Tutorial | |
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Title: | Benchmarking & Scaling |
Provider: | HPC.NRW
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Contact: | tutorials@hpc.nrw |
Type: | Online |
Topic Area: | Performance Analysis |
License: | CC-BY-SA |
Syllabus
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1. Introduction & Theory | |
2. Interactive Manual Benchmarking | |
3. Automated Benchmarking using a Job Script | |
4. Automated Benchmarking using JUBE | |
5. Plotting & Interpreting Results |
Weak scaling
We can write a simple Python script to process and plot the resulting data. For this purpose we are making use of the numpy and matplotlib Python libraries.