• You can do what you want on your local laptop/desktop (except get viruses)

• Be very careful when you use remote interactive servers shared with other users
  • Others should not even notice that you(r processes) are there!
    Yes, you can use computing resources cleanly and efficiently…
  • Note: notebook servers are shared servers!
  • If you have some heavy duty processing to do:
    • Use shared interactive servers only for quick tests (ideally with a subset of your huge dataset)
    • Use dedicated batch/computing clusters for heavy processing
      • heavy =
        • will run for a long time
        • and/or use a lot of CPU (one or many CPUs)
        • and/or use a lot of RAM
        • and/or do a lot of disk reading/writing,
        • …
      • resources you use in High Performance Computing centers will probably be deducted from a (shared) project

• Disk space (and backup space) is also an important resource!
  • When possible, avoid duplicating data, and run your computations near the data
    • e.g. use the mirror data stored in /bdd/ on the spirit[x] servers
  • Use scratch disks, when available, for temporary data and do not forget to remove temporary data
    • LSCE: /home/scratch01/$USER
    • spiritx: /scratchx/$USER
    • TGCC: $SCRATCH
  • Do not store temporary data, or replicated data, or data that can be easily re-created, on backed-up disks

• Ask your experienced colleagues when you are not sure about something (sometimes even if you are sure…)
  • you can get better domain specific answers from your colleagues than from chatbots
  • There are no stupid questions (especially for beginners)
  • There are always different ways to do things, some are much less efficient than others

• Learn how to monitor resources usage:
  • CPU and RAM: top
  • Disk: quota, du, df
  • …

• Read (some of) the local documentation
  RTFM (Read The Fine Manual)
  • Some Linux related documents (by JYP)
    • Learn at least how to use the man(ual) command !!
  • LSCE documentation
  • IPSL Computing and Data Center documentation
  • TGCC documentation
  • Jean Zay @ IDRIS documentation
  • …

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