Note on Disk Space

A Quick Note on Disk Space

Your home directory has a limited storage quota. The Conda environment and the packages you install, especially large ones for deep learning, can consume several gigabytes. For instance the HW1 conda env (progen) will be 6.8GB, and the evo2 environment will be 18.2GB. So most certainly you might run into space issues.

The polyfill-glibc patching step in the next section can fail with a misleading Error writing to file message if your disk is full.

Before proceeding, it's a good idea to check your available space on your home folder in PSC. You can see how much space you have left on the filesystem with:

my_quotas
# example output:
The quota for home directory /jet/home/rhettiar
Storage quota: 25.00GiB
 Storage used: 22.82GiB
  Inode quota: 0
  Inodes used: 120,115

The quota for project directory /ocean/projects/cis250160p
Storage quota: 1.95TiB
 Storage used: 608.20GiB
  Inode quota: 12,140,000
  Inodes used: 1,293,748

If you are low on space, here are two ways to fix it:

Remove Old Conda Environments You may have environments from previous assignments that you no longer need. First, list all your environments to see what you have:

conda env list

If you find an old environment you don't need anymore (e.g., one named progen from a previous project), you can remove it completely to free up a lot of space.

# Replace <env_name> with the actual name of the environment to delete
conda env remove -n <env_name>

# Example:
conda env remove -n progen

2. Clean Conda Caches: Conda keeps a cache of downloaded packages that you can safely clear to free up a significant amount of space.

conda clean --all

3. Move Other Projects: If you have large files or old projects in your home directory, move them to your dedicated project scratch space, which has much more room.

# Example: moving progen env
mv /jet/home/<your_username>/.conda/envs/progen /ocean/projects/cis250160p/<your_username>/