Skip to main content

Submitting jobs

To cater to users from different knowledge backgrounds with different preferences, we provide various ways to use the cluster's resources.

SLURM is our job scheduler. Basically, when you need computing resources, you submit a job. The system will then verify your request and your quota, your job will be submitted to the SLURM queue when it is valid. Based on an evaluated priority, SLURM decides when and where your job will be executed.

We highly recommend you read the Quick Start User Guide to get yourself familiar with the basic design and usage of SLURM.

Besides using the command line interface to submit jobs, we have several quick jobs to get you the resources with a little learning effort. This way suits people that are more comfortable working with GUI.

Jupyter Lab

jupyterlab.pngjupyterlab.png

In just a few clicks, you can launch a Jupyter Lab server of any size and connect to it without further authentication. The Jupyter Lab is managed in our base environment. So you can use it without any preparation. But you will need to create your own Anaconda environment to install the packages you need. Log in to the console and type commands:

module load Anaconda3/2022.05

# for example we create an environment called torch
# install two packages, pip for package management and ipykernel for running our python codes
conda create -y -n torch pip ipykernel

# install pytorch into our environment from the pytorch repo
conda install -y -n torch -c pytorch pytorch

Now we are all set. Login to the web portal, locate the jobs dropdown and click Jupyter Lab. In the GUI launcher window, select the resources you need then click enqueue job. Head to jobs > running jobs to find your job. Click the Jupyter link to open your Jupyter Lab.

Besides Jupyter Lab, you may launch and connect any web-based tools in the same way. See the GUI launcher section for details.

VNC


Container


GUI launcher

The above three quick jobs are all leveraging the GUI launcher. You can modify them or even create your own quick jobs. They are basically just a .sbatch script, optionally plus some metadata.

Terminal