Visual Studio Code (VSCode) is a popular editor for developers. It has some plugins that allow users to run the editor on their local computer and connect via SSH to a remote system. In the case of an HPC cluster, this is suboptimal, as VSCode will just connect to one of the login nodes and start a large number of threads there. Our system administrators are regularly checking the login nodes and are warning users that are overloading a login node. Users that repeatedly overload login nodes will temporarily be banned from accessing the cluster.
Solution for using VSCode on an HPC cluster
The main branch of VSCode cannot be integrated nicely with a batch system and the developers refuse to implement such features. But there is also an opensource version of VSCode. A fork of the opensource version called code-server allows users to run VSCode in a browser window, which resolves most issues related to running it on an HPC cluster. With this solution you can run the code-server in a batch job, then create an SSH tunnel to the compute node and finally you can connect your local browser to the code-server instance running in the batch job.
The preparation steps only need to be executed once. You need to carry out those steps to set up the basic configuration for your ETH account with regards to the code-server.
- Login to the Euler cluster
- Start and interactive job with
srun --ntasks=1 --time=00:10:00 --mem-per-cpu=2048 --pty bash
- When using Euler, switch to the new software stack (in case you haven't set it as default yet), either using
for the current shell, or
to set it as permanent default (when using this command, you need to logout and login again to make the change becoming active). This step can be omitted for Leonhard Open
- Load the modules for one of the code-server installations (use 3.12.0 if you use the script that automates creation of the SSH tunnel):
module load gcc/6.3.0 code-server/3.9.3 module load gcc/6.3.0 code-server/3.11.1 module load gcc/6.3.0 code-server/3.12.0
- Start the code-server once with the command code-server
[sfux@eu-ms-001-01 ~]$ code-server [2021-11-02T10:01:45.407Z] info code-server 3.12.0 4cd55f94c0a72f05c18cea070e10b969996614d2 [2021-11-02T10:01:45.409Z] info Using user-data-dir ~/.local/share/code-server [2021-11-02T10:01:45.433Z] info Using config file ~/.config/code-server/config.yaml [2021-11-02T10:01:45.433Z] info HTTP server listening on http://127.0.0.1:8080 [2021-11-02T10:01:45.433Z] info - Authentication is enabled [2021-11-02T10:01:45.433Z] info - Using password from ~/.config/code-server/config.yaml [2021-11-02T10:01:45.433Z] info - Not serving HTTPS [sfux@eu-ms-001-01 ~]$
This will setup the local configuration (including a password for you) and store it in your home directory in $HOME/.config/code-server/config.yaml
- After the server started, terminate it with ctrl+c
The code-server workflow to use VSCode on the Euler cluster contains 3 parts
- Starting the code-server in a batch job
- Creating an SSH tunnel between the local computer and the compute node, where the code-server is running
- Using the SSH tunnel to connect a browser running on your local computer with the code server running on the compute node
Points 2. and 3. in the workflow are automated by the script start_vscode.sh shown below.
Installation of the script
Download the repository with the command
Starting the code-server in a batch job
The start_vscode.sh script needs to be executed on your local computer. Please find below the list of options that can be used with the script:
$ ./start_vscode.sh --help ./start_vscode.sh: Script to start a VSCode on Euler from a local computer Usage: start_vscode.sh [options] Options: -u | --username USERNAME ETH username for SSH connection to Euler -n | --numcores NUM_CPU Number of CPU cores to be used on the cluster -W | --runtime RUN_TIME Run time limit for the code-server in hours and minutes HH:MM -m | --memory MEM_PER_CORE Memory limit in MB per core -b | --batchsys BATCH_SYS Batch system to use (LSF or SLURM) Optional arguments: -c | --config CONFIG_FILE Configuration file for specifying options -g | --numgpu NUM_GPU Number of GPUs to be used on the cluster -h | --help Display help for this script and quit -i | --interval INTERVAL Time interval for checking if the job on the cluster already started -k | --key SSH_KEY_PATH Path to SSH key with non-standard name -v | --version Display version of the script and exit Examples: ./start_vscode.sh -u sfux -b SLURM -n 4 -W 04:00 -m 2048 ./start_vscode.sh --username sfux --batchsys SLURM --numcores 2 --runtime 01:30 --memory 2048 ./start_vscode.sh -c /c/Users/sfux/.vsc_config Format of configuration file: VSC_USERNAME="" # ETH username for SSH connection to Euler VSC_NUM_CPU=1 # Number of CPU cores to be used on the cluster VSC_NUM_GPU=0 # Number of GPUs to be used on the cluster VSC_RUN_TIME="01:00" # Run time limit for the code-server in hours and minutes HH:MM VSC_MEM_PER_CPU_CORE=1024 # Memory limit in MB per core VSC_WAITING_INTERVAL=60 # Time interval to check if the job on the cluster already started VSC_SSH_KEY_PATH="" # Path to SSH key with non-standard name VSC_BATCH_SYSTEM="SLURM" # Batch system to use (SLURM or LSF)
Reconnect to a code-server session
When running the script, it creates a local file called reconnect_info in the installation directory, which contains all information regarding the used ports, the remote ip address, the command for the SSH tunnel and the URL for the browser. This information should be sufficient to reconnect to a code-server session if connection was lost.
Cleanup after the job
Please note that after finishing your work with VSCode, you need to do some manual cleanup for terminating the SSH tunnel. For finding the process id of the SSH tunnel on your local computer, you can use the command
ps -u | grep -m1 -- "-L" | grep -- "-N"
Once you know the process id of the SSH tunnel, you can terminate it with the command
with PID being the process id of the SSH tunnel. Please also don't forget to terminate the batch job where the server is running, as it would otherwise continue to run until the runtime limit of the job is reached.
This example is from a Linux computer. If you are using git bash on Windows, then you can find the SSH process with the ps kommand and use kill to stop it.
Due to Microsoft's terms of service, extensions from their marketplace can not directly be used with code-server:
Instead one can use extensions from Open-VSX, where most extensions (those that are open source) from the Microsoft's extension marketplace are available:
You can install extensions either via command line
Extensions are stored in $HOME/.local/share/code-server/extensions unless you set the environment variable $XDG_DATA_HOME, then they are stored in $XDG_DATA_HOME/code-server/extensions