diff --git a/content/applications/app_specific/running_sas.md b/content/applications/app_specific/running_sas.md
index a0585ef2b4a046889692fc5d4083fd3bc5733725..3b458b2e02c32e2aee4155234e32be2c882ffaf7 100644
--- a/content/applications/app_specific/running_sas.md
+++ b/content/applications/app_specific/running_sas.md
@@ -1,15 +1,15 @@
+++
-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" >}}
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