Applications/SAS

Application Details

• Description: SAS (Statistical Analysis System) is a software suite developed by SAS Institute for advanced analytics, business intelligence, data management, and predictive analytics.
• Versions: 9.4
• Module names: SAS/9.4
• License: Departmental research only multi-platform license, restricted to Accounting and Finance department
• Forum support: https://www.hpc.hull.ac.uk/forum/viewforum.php?f=22
• Further information: http://www.sas.com/en_gb/home.html

Usage Examples

Interactive

[username@login01 ~]$ interactive
salloc: Granted job allocation 289669
Job ID 289669 connecting to c170, please wait...
Last login: Thu Jan 26 12:59:11 2017 from 10.254.5.246
[username@c170 ~]$ module add test-modules SAS/9.4

To use the full SAS GUI, make sure you have your environment setup as detailed in LINK and run sas_en:

[username@c170 ~]$ sas_en

To use the command line interactive line mode and not the GUI, run sas_en –nodms:

[username@c170 ~]$ sas_en –nodms

Some functions invoke a SAS window even in interactive line mode, for full line mode use –noterminal flag, i.e.:

[username@c170 ~]$ sas_en -nodms –noterminal

You can then run your task using a SAS script with the following command:

[username@c170 ~]$ sas_en -noteminal sas_file.sas

Batch Submission

#!/bin/bash
#SBATCH -J MATLAB
#SBATCH -N 1
#SBATCH -o %N.%j.out
#SBATCH -e %N.%j.err
#SBATCH -p compute
#SBATCH --exclusive
 
module add matlab/2016a
 
matlab -nodisplay -nojvm -nodesktop -nosplash -r my_matlab_m_file

This submission script can be found at /path/to/sample/script Matlab

[username@login01 ~]$ sbatch MATLABtest.job
Submitted batch job 289522

Parallel Matlab

By default Matlab on Viper will run on a single core as mutli-threading conflicts with the schedulers resource management, however there are three ways in which Matlab can utilise multiple processors:

Multi-threading

Matlab can use multiple threads for certain built in functions for example linear algebra and numerical functions such as fft, \ (mldivide), eig, svd, and sort. These functions automatically execute on multiple computational threads in a single MATLAB session, allowing them to execute faster on multicore-enabled machines. Additionally, many functions in Image Processing Toolbox are multithreaded

Parallel Computing Toolbox

The Parallel Computing Toolbox allows you to open a number of workers (separate Matlab engines) on the local node, up to the number of cores on that node (28 for standard nodes in an exclusive session).

>> parpool('local',28)
Starting parallel pool (parpool) using the 'local' profile ... connected to 28 workers.

ans = 

 Pool with properties: 

            Connected: true
           NumWorkers: 28
              Cluster: local
        AttachedFiles: {}
          IdleTimeout: 30 minute(s) (30 minutes remaining)
          SpmdEnabled: true

Distributed Computing Toolbox

The distributed computing toolbox is not currently supported on Viper

Change Log

[2017-01-30] Changed default Matlab launch command in module to matlab -singleCompThread to disable multi-threading