Welcome to UF Research Computing! This page is intended to help new and uninitiated users understand and use UFRC resources. Be sure to check out our training schedule if you'd like help getting started in person!
Creating an Account
To be able to do anything on HiPerGator you need a UF Research Computing account. To create an account with UF Research Computing, you must read the UFRC Account Policy. After you have reviewed the policy, go to our website to submit an account request. You will have to tell us the name of the Principal Investigator (PI) who sponsors the access of the group. Once the PI approves your access to their allocation your account will be created; the username and password will be the same as your GatorLink username and password.
If you are a new Principal Investigator you will need to indicate this on the request form, so that we can create a new group for you. Please note that to do useful work, your group will have to invest into computational resources, or you will have to join a departmental group with a shared allocation.
Connecting to HiPerGator
To work on HiPerGator you will have to connect to it from your local computer either via SSH (terminal session) or via one of the web/application interfaces we provide such as Galaxy or Matlab (for Matlab distributed computing toolbox pilot project we are testing).
Note about using this guide: for any given command,
<username> should be replaced with the UFRC username (same as your GatorLink username).
For example, if you are referencing the command
ssh <username>@hpg2.rc.ufl.edu and your Gatorlink username is smith, you would use the command:
Connecting from Windows
Connecting from Linux
Connecting from MacOS X
If you need to transfer datasets to or from HiPerGator and your local computer or another external location you have to pick the appropriate transfer mechanism.
Samba service, also known as a '
network share' or '
mapped drive' provides you with an ability to connect to some HiPerGator filesystems as locally mapped drives (or mount points on Linux or MacOS X). Once you connected to a share this mechanism provides you with a file transfer option that allows you to use your client computer's native file manager to access and manage your files. Samba works best for moving smaller files, like job scripts, to and from the system. You must be connected to the UF network (either on-campus or through the VPN) to connect to Samba shares.
- See the page on accessing Samba for setup information specific to your computer's operating system.
SFTP, or secure file transfer, works well for small to mediaum data transfers and is appropriate for both small and large data files.
If you would like to use a Graphical User Interface ecure file transfer client we recommend:
After you have chosen and downloaded a client, configure the client to connect to
sftp.rc.ufl.edu, specifying port number 22. Use your username and password to log in.
If you prefer to use the command-line or to get maximum efficiency from your data transfers Rsync, which is an incremental file transfer utility that minimizes network usage, is a good choice. It does so by transmitting only the differences between local and remote files rather than transmitting complete files every time a sync is run as SFTP does. Rsync is best used for tasks like synchronizing files stored across multiple subdirectories, or updating large data sets. It works well both for small and large files. See the Rsync page for instructions on using rsync.
Globus is a high-performance mechanism for file transfer. Globus works especially well for transferring large files or data sets
- See the Globus page for setup and configuration information.
Editing your files
Several methods exist for editing your files on the cluster.
- vi - The visual editor (vi) is the traditonal Unix editor; however, it is not necessarily the most intuitive editor. View a tutorial for using vi
- emacs - Emacs is a much heavier duty editor, but again has the problem of having commands that are non-intuitive. View a tutorial for using emacs
- pico - While pico is not installed on the system, nano is installed, and is a pico work-a-like.
- nano - Nano has a good bit of on-screen help to make it easier to use.
You can also use your favorite file editor on your local machine, and then transfer the files to the cluster afterwards. A caveat to this is that files created on Windows machines usually contain unprintable characters, which may be misinterpreted by Linux command interpreters (shells). If this happens, there is a utility called
dos2unix that you can use to convert the text file from DOS/Windows formatting to Linux formatting.
Using installed software
The following command can be used to browse the full list of available modules, along with short descriptions of the applications they make available:
To load a module, use the following command:
load module <module_name>
For more information on loading modules to access software, view the page on the basic usage of environment modules.
Doing Interactive Testing or Development
You don't always have to use the SLURM scheduler. When all you need is a quick shell session to run a command or two, write and/or test a job script, or compile some code use SLURM Dev Sessions.
Running Graphical Programs
It is possible to run programs that use a graphical user interface (GUI) on the system. However, doing so requires installation of and configuration of additional software on the client computer.
Please see the GUI Programs page for information on running graphical user interface applications at UFRC.
Scheduling jobs using SLURM
UFRC uses the Simple Linux Utility for Resource Management, or SLURM, to allocate resources and schedule jobs. Users can create SLURM job scripts to submit jobs to the system. These scripts can, and should, be modified in order to control several aspects of your job, like resource allocation, email notifications, or output destination.
- See the Annotated SLURM Script for a walk-through of the basic components of a SLURM job script
- See the Sample SLURM Scripts for several SLURM job script examples
To submit a job script from one of login nodes via hpg2.rc.ufl.edu, use the following command:
$ sbatch <your_job_script>
To check the status of submitted jobs, use the following command:
$ squeue -u <username>
View SLURM_Commands for more useful SLURM commands.
If you are having problems using the UFRC system, please let our staff know by submitting a support request.