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SAS is a commercial integrated system for statistical analysis, data mining, and graphics as well as many enterprise oriented additional features. SAS cost and the breadth of SAS features means that both a significant monetary investment and a substantial time investment are required to master it. SAS 9.3 Documentation is vast. For research purposes the SAS 9.3 User's Guide is a thorough reference for the functions and procedures you may need to do the statistical analysis using SAS.

Environment Modules

Run module spider sas to find out what environment modules are available for this application.

System Variables

  • HPC_SAS_DIR - installation directory

Additional Information


SAS has a number of options:

Batch Submission

To do a batch submission of a SAS script use the -sysin command line option and write all of your SAS commands in a file. In this way you can submit jobs to the batch queue system to run your jobs on the cluster.

-work directory

SAS is a mature product with a long history behind it. In a modern high-performance environment it means that additional actions need to be taken to mitigate potential issues stemming from SASs focus on filesystem I/O instead of using memory.

For users of PHI and FERPA: It is particularly important to set your working directory to be in your project's PHI/FERPA configured directory in /blue when working with SAS. Writing files to /home or $TMPDIR could expose restricted data to unauthorized users.

Interactive Use

See GUI_Programs to learn how to run the Graphical SAS interface for short debugging sessions.

SLURM Script Examples

Expand to view script example.

#SBATCH --name=sas_job
#SBATCH --output=sas_%j.out
#SBATCH --mail-type=END,FAIL #Only email summary and failure reports
#SBATCH --mail-user=your_email_address  # Where to send mail	
#SBATCH --ntasks=1                      # Run a single task
#SBATCH --cpus-per-task=1               # Run on a single cpu
                                        #  --can change this for more cores
#SBATCH --mem=1gb                       # Memory limit
#SBATCH --time=01:00:00                 # Run for up to one hour

module load sas

sas -memsize 1024M -nodms -nonews -work $TMPDIR -filelocks none -sysin sas.inp