Description in progress as of 2023-01-27.
This page gives a very brief introduction to SLAC's new S3DF (SLAC Shared Scientific Data Facility) cluster to help you get started. We assume you already have a Unix account and your main intent is to run the Fermitools/Fermipy.
See the main S3DF documentation for detailed information about how to log in, use the the SLURM batch system, and so on.
Basically, ssh to s3dflogin.slac.stanford.edu and from there ssh to iana (no .slac.stanford.edu) to do actual interactive work. The login nodes are not meant for doing analysis or accessing data. Of course, real computational intensive tasks are meant for the batch system and not the interactive nodes either.
Disk space:
- Your home directory is in weka (/sdf/home/<first letter of our userid>/<your userid>) with 30 GB of space. This space is backed up and is where code, etc., should go. This is also true for conda environments.
- We have group space at /sdf/group/fermi/ which will include shared software, as well as Fermi-supplied user (i.e., on top of your home directory) and group space.
- We're still providing additional user space from the old cluster, available on request via the slac-helplist mailing list. It is not backed up. This space is natively gpfs. Once enabled, it will be available under: /gpfs/slac/fermi/fs2/u/<your_dir>.
Fermitools installs are available (note that this also provides a Conda installation so you don't need to install Conda yourself). See Fermitools/Conda Shared Installation at SLAC.
You can also run a RHEL6 Singularity container (for apps that are not portable to RHEL/Centos7). See Using RHEL6 Singularity Container.
For generic advice on running in batch, see Running on SLAC Central Linux. Note that the actual batch system has changed and we have not updated the doc to reflect that. This is advice on copying data to local scratch, etc.