Difference between revisions of "SAS"

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|{{#vardefine:app|sas}}
 
|{{#vardefine:app|sas}}
 
|{{#vardefine:url|http://www.sas.com/}}
 
|{{#vardefine:url|http://www.sas.com/}}
<!--Compiler and MPI settings - OPTIONAL -->
 
|{{#vardefine:intel|}} <!-- E.g. "11.1" -->
 
|{{#vardefine:mpi|}} <!-- E.g. "openmpi/1.3.4" -->
 
<!--Choose sections to enable - OPTIONAL-->
 
|{{#vardefine:mod|1}} <!--Present instructions for running the software with modules -->
 
 
|{{#vardefine:exe|1}} <!--Present manual instructions for running the software -->
 
|{{#vardefine:exe|1}} <!--Present manual instructions for running the software -->
 
|{{#vardefine:conf|}} <!--Enable config wiki page link - {{#vardefine:conf|1}} = ON/conf|}} = OFF-->
 
|{{#vardefine:conf|}} <!--Enable config wiki page link - {{#vardefine:conf|1}} = ON/conf|}} = OFF-->
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<!--Description-->
 
<!--Description-->
 
{{#if: {{#var: url}}|
 
{{#if: {{#var: url}}|
{{App_Description|app={{#var:app}}|url={{#var:url}}}}|}}
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{{App_Description|app={{#var:app}}|url={{#var:url}}|name={{#var:app}}}}|}}
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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. [http://support.sas.com/documentation/onlinedoc/stat/index.html#stat93 SAS 9.3 Documentation] is vast. For research purposes the [http://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#titlepage.htm 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.
 
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. [http://support.sas.com/documentation/onlinedoc/stat/index.html#stat93 SAS 9.3 Documentation] is vast. For research purposes the [http://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#titlepage.htm 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.
<!--Location-->
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<!--Modules-->
{{App_Location|app={{#var:app}}|{{#var:ver}}}}
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==Required Modules==
==Available versions==
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[[Modules|modules documentation]]
* 9.3
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===Serial===
<!-- -->
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*{{#var:app}}
{{#if: {{#var: mod}}|==Running the application using modules==
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==System Variables==
{{App_Module|app={{#var:app}}|intel={{#var:intel}}|mpi={{#var:mpi}}}}|}}
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* HPC_{{uc:{{#var:app}}}}_DIR - installation directory
{{#if: {{#var: exe}}|==How To Run==
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<!--Additional-->
 +
{{#if: {{#var: exe}}|==Additional Information==
 
===Commands===
 
===Commands===
 
SAS has a number of options:
 
SAS has a number of options:
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===Interactive Use===
 
===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:
+
See [[GUI_Programs]] to learn how to run the Graphical SAS interface for short debugging sessions.
ssh USER@test01.ufhpc -o ForwardX11=yes -o ForwardX11Trusted=yes -o ProxyCommand='ssh USER@submit.hpc.ufl.edu exec nc test01 %p'
 
or add the following to your ~/.ssh/config file:
 
Host test01
 
    User USER
 
    KeepAlive yes
 
    ProxyCommand ssh USER@submit.hpc.ufl.edu 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
 
sas
 
 
|}}
 
|}}
 
{{#if: {{#var: conf}}|==Configuration==
 
{{#if: {{#var: conf}}|==Configuration==
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#!/bin/bash
 
#!/bin/bash
 
#
 
#
#PBS -N Research
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#SBATCH --name=sas_job
#PBS -o market.out
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#SBATCH --output=sas_%j.out
#PBS -e market.err
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#SBATCH --mail-type=END,FAIL #Only email summary and failure reports
#PBS -m abe
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#SBATCH --mail-user=your_email_address  # Where to send mail
#PBS -M <EMAIL ADDRESS>
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#SBATCH --ntasks=1                   # Run on a single CPU
#PBS -l nodes=1:ppn=1
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#SBATCH --mem=1gb                 # Memory limit
#PBS -l pmem=1gb
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#SBATCH --time=01:00:00         # Run for up to one hour
#PBS -l walltime=01:00:00
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date;hostname;pwd
  
 
module load sas
 
module load sas
cd /scratch/hpc/USERNAME
 
  
 
sas -memsize 1024M -nodms -nonews -work $TMPDIR -filelocks none -sysin sas.inp
 
sas -memsize 1024M -nodms -nonews -work $TMPDIR -filelocks none -sysin sas.inp
 
</pre>
 
</pre>
{{#if: {{#var: policy}}|==Usage policy==
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{{#if: {{#var: policy}}|==Usage Policy==
 
WRITE USAGE POLICY HERE (perhaps templates for a couple of main licensing schemes can be used)|}}
 
WRITE USAGE POLICY HERE (perhaps templates for a couple of main licensing schemes can be used)|}}
 
{{#if: {{#var: testing}}|==Performance==
 
{{#if: {{#var: testing}}|==Performance==

Latest revision as of 21:24, 6 December 2019

Description

sas website  

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.

Required Modules

modules documentation

Serial

  • sas

System Variables

  • HPC_SAS_DIR - installation directory

Additional Information

Commands

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

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

PBS Script Examples

Sample Job Script

#!/bin/bash
#
#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 on a single CPU
#SBATCH --mem=1gb                  # Memory limit
#SBATCH --time=01:00:00          # Run for up to one hour
date;hostname;pwd

module load sas

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