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Profile the given input ( TBD - Available in oneDrive folder)
Use any of the remote clusters to run an MPI profile (such as IPM profile or any other profiler) over 4 nodes, full PPN to profile the given input.Submit the profile as PDF to the team's folder.
Add to your presentation the 3 main MPI calls that are being used plus the MPI time being used.
Run the QE with the given input on both PSC bridges-2 and FAU Fritz CPU clusters, and submit the results to the teams folder.
Visualize the input on any of the clusters creating a figure or video out of the input file, using any method for the visualization. In case the team has a twitter account, tag the figure/video with the team name or university name and publish on Twitter with the following tags: #ISC23 #ISC23_SCC @QuantumESPRESSO
Bonus task - run QE on the Alex cluster using A100 GPU partition. Use only 4 GPUs for the run. Submit the results to the team's folder.
Submission and Presentation:
- Submit all the build scripts, standard output, logs and slurm run scripts used to the team’s folder.
- No need to submit the scientific application output or the input files, output data or source codes.
- Prepare slides for the team’s interview based on your work for this application.
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