Difference between revisions of "Benchmarking & Scaling Tutorial"
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=== [[Benchmarking_%26_Scaling_Tutorial/Automated_Benchmarking | Automated Benchmarking using a Job Script ]] === | === [[Benchmarking_%26_Scaling_Tutorial/Automated_Benchmarking | Automated Benchmarking using a Job Script ]] === | ||
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| + | === [[Benchmarking_%26_Scaling_Tutorial/Automated_Benchmarking_JUBE | Automated Benchmarking using JUBE ]] === | ||
=== [[Benchmarking_%26_Scaling_Tutorial/Results | Plotting and Interpreting Results ]] === | === [[Benchmarking_%26_Scaling_Tutorial/Results | Plotting and Interpreting Results ]] === | ||
Revision as of 14:38, 16 November 2022
| Tutorial | |
|---|---|
| Title: | Benchmarking & Scaling |
| Provider: | HPC.NRW
|
| Contact: | tutorials@hpc.nrw |
| Type: | Online |
| Topic Area: | Performance Analysis |
| License: | CC-BY-SA |
| Syllabus
| |
| 1. Introduction & Theory | |
| 2. Interactive Manual Benchmarking | |
| 3. Automated Benchmarking using a Job Script | |
| 4. Automated Benchmarking using JUBE | |
| 5. Plotting & Interpreting Results | |
This tutorial is meant to help you benchmark your application on an HPC cluster environment and to optimise the use of available resources. We will explain why you should benchmark a software you plan to run on a cluster before doing any productive calculations, what scalability is, tell you about potential bottlenecks and refer to advanced toolkits which can automate the process.