Difference between revisions of "Benchmarking & Scaling Tutorial"
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=== [[Benchmarking_%26_Scaling_Tutorial/Results | Plotting and Interpreting Results ]] === | === [[Benchmarking_%26_Scaling_Tutorial/Results | Plotting and Interpreting Results ]] === | ||
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== Part II == | == Part II == | ||
Jube | Jube | ||
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Revision as of 14:51, 10 March 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 | |
WORK IN PROGRESS!
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.