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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.

Execution Environment and Modules

To use sas with the environment modules system at HPC the following commands are available:

Get module information for sas:

$module spider sas

Load the default application module:

$module load sas

The modulefile for this software adds the directory with executable files to the shell execution PATH and sets the following environment variables:

  • HPC_SAS_DIR - directory where sas is located.

How To Run


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.

Interactive Use

To connect to a test node, for example test01, where you can run the graphical interface to SAS use the following or a similar command on a linux or MacOS X system:

ssh USER@test01.ufhpc -o ForwardX11=yes -o ForwardX11Trusted=yes -o ProxyCommand='ssh exec nc test01 %p'

or add the following to your ~/.ssh/config file:

Host test01
   User USER
   KeepAlive yes
   ProxyCommand ssh exec nc test01 %p
   ForwardX11 yes
   ForwardX11Trusted yes

where USER is your username. After editing ~/.ssh/config you can just run the following command to connect:

ssh test01

Once connected run

module load sas

PBS Script Examples

Sample Job Script

#PBS -N Research
#PBS -o market.out
#PBS -e market.err
#PBS -m abe
#PBS -l nodes=1:ppn=1
#PBS -l pmem=1gb
#PBS -l walltime=01:00:00

module load sas
cd /scratch/hpc/USERNAME

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