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Blugold Supercomputing Cluster

We've got nodes

The ability to understand the natural world through cause-and-effect relationships is key to science. That's where the Blugold Supercomputing Cluster comes in. It uses analysis of mathematical models and computer simulations to gain understanding of physical and chemical systems. In addition, the cluster has software for the analysis of all types of financial data, and for producing complex multidimensional graphics.

What this means for you is your learning and discovery in all science-related disciplines really takes off when you work with the Blugold Supercomputing Cluster. By delivering large amounts of information at a fast pace, high-performance computing through the cluster is a central tool to enhance learning, research, and discovery. The Blugold Supercomputing Cluster integrates into many courses and promotes campus-wide collaborations in faculty-student research.

Want more information?

We have an entire wiki page dedicated to the Blugold Supercomputing Cluster. Find all of the information about the hardware and specs, getting started with the program, and what programs our equipment works with.

Blugold Supercomputing Cluster

BGSC Admins

Meet the admins and learn more about their responsibilities.



Working from off campus? Not sure what coding you need? We have a few things listed out for you to make it easier than ever. If you don't see your question below, feel free to contact us and we'll be able to help you out.

If you are working off-campus, you will need VPN. Please visit our help area for more information.

If you are using campus network, type 'ssh' enter your 'university ID' and 'password' to login.

To use Slurm, first make sure you load the module:

module load slurm

You can view the Slurm job queue by entering the command


To submit a job you must have these script flags in your submission file. Notice the comments after the flags. These comments explain what each flag is for and it's purpose.


#SBATCH -- partition=batch                                                 #Partition to submit to

#SBATCH -- time=00:00:30                                                  #Time limit for this job

#SBATCH -- nodes=1                                                             #Nodes to be used for this job during runtime

#SBATCH -- ntasks-per-node=1                                            #Number of CPU's Per node

#SBATCH -- mem=150                                                              #Total memory for this job

#SBATCH -- job-name="Slurm Sample"                             #Name of this job in work queue

#SBATCH -- output=ssample.out                                          #Output file name

#SBATCH -- output=ssample.err                                          #Error file name

#SBATCH -- mail-user=<your desired email address>       #Email to send notifications to

#SBATCH -- mail-type=ALL                                                #Email notification type (BEGIN, END, FAIL, ALL)

The flags listed below are subject to change to the needs of your job.

#SBATCH – time=00:00:30The time format here is DD-H:M:S

#SBATCH – ntasks-per-node=1

#SBATCH mem=150

#SBATCH – job-name="Slurm Sample"

#SBATCH – output=ssample.out

#SBATCH – output=ssample.err

sbatch <your script name>

For a walk through video on this process please visit our channel: coming soon

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