Source repo: sdsc-summer-institute-2021 | Branch:
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Configuring Your Training Account
Each member of the class, and instructors have a training account with a default user environment customized with the right paths and software paths, including the conda/mininconda software.
Bash Environment
*Note: Do NOT replace the .bashrc with your own. *
Aliases and paths are pre-installed (see below) and if you replace the files you will not be able to run the example software.
Miniconda installs:
Institute staff will provide instructions for installing miniconda for the workshop on the preparation day. Please do not re-install conda. If you have trouble, go to the Slack HelpDesk.
Default applications location:
CHECK THIS You have been set up with a default user environment: you do not need have a .bashrc file. You will see the code in these folders by default
- link to /cms
- link to singularity for SDSC SI20
Node Reservations:
GPU reservations
*getcpu: "srun --pty --nodes=1 --ntasks-per-node=24 -p compute -t 3:00:00 --reservation=si2020resday1 --wait 0 /bin/bash" *getgpu: "srun --pty --nodes=1 --ntasks-per-node=6 --gres=gpu:1 --partition gpu-shared -t 3:00:00 --reservation=si2020resday1 --wait 0 /bin/bash" *getcpu1: "srun --pty --nodes=1 --ntasks-per-node=24 -p compute -t 1:00:00 --reservation=si2020resday1 --wait 0 /bin/bash"
CPU reservations
For the class, we have created special SLURM queue reservations so our jobs will run faster. Please use the following aliases:
getcpu - one comput node for 3 hours
getcpu1 - one comput node for 1 hour
GPU reservations
getgpu - one GPU for 3 hours (on days with GPU hands-on)
getgpu1 - one GPU for 1 hour (on days with GPU hands-on)
Using Jupyter Technologies
Jupyter Notebooks
** NEED TO UPDATE MPT 6/11/21** The command to run secure Jupyter notebook servers for this class is the start_python_hpc_notebook command (this will be in your path).
- update to use Galyleo
JupyterLab servers
*update to use Galyleo
Notebooks hosting Spark
** do we need this section?**