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Add info for SAS Interactive App

Merged Add info for SAS Interactive App
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content/applications/app_specific/running_sas.md
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title = "Running SAS at HCC"
title = "Running SAS on HCC"
description = "How to run SAS on HCC resources."
+++
- [Running SAS through the command line](#sas-on-hcc-clusters)
- [Running SAS on JupyterHub](#sas-on-jupyterhub)
- [Running SAS on HCC OnDemand](#sas-on-hcc-ondemand)
- [Running SAS on Anvil](#sas-on-anvil)
This quick start demonstrates how to implement a SAS program on
HCC supercomputers through the command line and JupyterHub, and on HCC's Anvil platform. The sample code and submit scripts can be
This quick start demonstrates how to use a SAS program on
HCC resources through the command line, HCC OnDemand, and HCC's Anvil platform. The sample code and submit scripts can be
downloaded from [HCC's job-examples git repository](https://github.com/unlhcc/job-examples).
{{% notice info%}}
@@ -17,13 +17,15 @@ SAS is licensed software; users must have access to an existing license via an a
If you are a current SAS user and would like to arrange for access on HCC machines, please contact hcc-support@unl.edu.
{{% /notice %}}
## SAS on HCC Clusters
SAS applications can be ran on HCC clusters similar to other jobs.
[Connect to a HCC cluster]({{< relref "../../connecting/" >}}) and make a subdirectory
SAS applications can be run on HCC clusters similar to other jobs.
[Connect to an HCC cluster]({{< relref "../../connecting/" >}}) and make a subdirectory
called `sas_demo` under your `$WORK` directory.
In the subdirectory `sas_demo`, save the sas code. Here we include a single demo
programs, `t_test.sas`, to perform a t test analysis on a small data set.
In the subdirectory `sas_demo`, save the SAS code. Here, we include a single demo
programs, `t_test.sas`, to perform a t-test analysis on a small data set.
[t_test.sas](https://raw.githubusercontent.com/unlhcc/job-examples/master/sas/t-test.sas)
@@ -33,8 +35,8 @@ programs, `t_test.sas`, to perform a t test analysis on a small data set.
#### Creating a Submit Script
Create a submit script to request one core (default) and 10-min run time
on the supercomputer. The name of the main program enters at the last
Create a submit script to request one core (default) and 10 minutes run time
on the supercomputer. The name of the main program is entered at the last
line.
[sas.submit](https://raw.githubusercontent.com/unlhcc/job-examples/master/sas/sas.submit)
@@ -55,21 +57,32 @@ Replace `<username>` with your HCC username.
The results of the t-test are computed and printed to the `.lst` file
## SAS on JupyterHub
Sas can also be run on Jupyter notebook environments available through [HCC Open OnDemand]({{< relref "../../open_ondemand/connecting_to_hcc_ondemand/" >}}). [Launch a jupyter notebook session]({{< relref "../../open_ondemand/virtual_desktop_and_interactive_apps/" >}}). After the Jupyter Notebook session starts, select `SAS` from the `New` dropdown box.
{{< figure src="/images/jupyterNew.png" >}}
Here you can run code in the notebook's cells. The SAS code is then ran when you click on the "play" icon or pressing the `shift` and `enter` keys simultaneously.
## SAS on HCC OnDemand
On [HCC OnDemand]({{< relref "../../open_ondemand/connecting_to_hcc_ondemand/" >}}), SAS can be accessed via Jupyter Lab Notebook and dedicated SAS Interactive GUI Application, visible for researchers with valid SAS license.
### SAS on Jupyter Lab
[Launch a Jupyter Lab Notebook session]({{< relref "../../open_ondemand/virtual_desktop_and_interactive_apps/" >}}). After the Jupyter Lab Notebook session starts, select `SAS` from the `New` dropdown box.
{{< figure src="/images/jupyterNew.png" >}}
Here, you can run code in the Notebook's cells. The SAS code is then executed when you click on the "play" icon or press the `shift` and `enter` keys simultaneously.
{{< figure src="/images/jupyterCode.png" >}}
### SAS Interactive GUI Application
[Launch the Interactive App]({{< relref "../../open_ondemand/virtual_desktop_and_interactive_apps/" >}}) by selecting `SAS` from the `Interactive Apps` drop-down menu at the top of the OnDemand Dashboard page and filling in the parameters needed for your job.
{{< figure src="/images/sas_1.png" >}}
SAS scripts can then be run from the Editor, and the results will be shown in a browser.
{{< figure src="/images/sas_2.png" >}}
## SAS on Anvil
SAS can also be ran on a Windows 10 instance on anvil. This allows SAS scripts to be run with a full GUI environment.
SAS can also be run on a Windows 10 instance on Anvil. This allows SAS scripts to be run with a full GUI environment.
Start off creating a `Windows 10 SAS` instance from the [Anvil dashboard](https://anvil.unl.edu/). [Create an instance]({{< relref "../../anvil/creating_an_instance.md" >}}) and use the image labeled `Windows 10 SAS`. Once the instance is fully launched, [connect to the instance]({{< relref "../../anvil/connecting_to_windows_instances.md" >}}) using the retrieved password. After connecting to the instance and logging , SAS can be launched from the desktop shortcut.
Start off creating a `Windows 10 SAS` instance from the [Anvil dashboard](https://anvil.unl.edu/). [Create an instance]({{< relref "../../anvil/creating_an_instance.md" >}}) and use the image labeled `Windows 10 SAS`. Once the instance is fully launched, [connect to the instance]({{< relref "../../anvil/connecting_to_windows_instances.md" >}}) using the retrieved password. After connecting to the instance and logging, SAS can be launched from the Desktop shortcut.
{{< figure src="/images/sasAnvilDesktop.png" height="450" >}}
From here sas scripts can be ran from the editor at the bottom of the SAS window. Scripts can also be opened from a script file on the Anvil instance.
From here, SAS scripts can be run from the Editor at the bottom of the SAS window. Scripts can also be opened from a script file on the Anvil instance.
{{< figure src="/images/sasAnvil.png" height="450" >}}
Executing a script is done at the top of the SAS window `Run` and click `Submit`. When the script finishes executing, the results will be displayed.
Executing a script is done by typing `run;` and clicking `Submit`. When the script finishes executing, the results will be displayed.
{{< figure src="/images/sasAnvilResults.png" height="450" >}}