Research Computing Tips

A collection of RSE and HPC tips for those new to research computing at Imperial College London.

1. Running Docker images using Singularity
2. Git shortcuts using aliases
3. Compute service job dependencies
4. A Python project template
5. Running long jobs on the RCS compute service
6. Editing and running your code directly on the RCS compute service
7. Using your Conda environments inside Jupyter
8. RCS compute service utility scripts
9. Running MATLAB on the RCS compute service
10. Sharing data from the Research Data Store
11. Running Jupyter notebooks on the RCS compute service
12. Transferring data to and from the Research Data Store
13. Controlling logging for jobs
14. Running Julia on the RCS compute service
15. Running MATLAB in parallel on the RCS compute service
16. Using Nextflow on the RCS compute service
17. Array jobs
18. Using Snakemake on the RCS compute service
19. Getting started with Conda
20. Web access to the RCS compute service
21. Research Computing support
22. Best practices for job scripts

Tips can also be viewed by topic.

Have your own suggestions? Let us know @ImperialRSE!