Merge pull request #249 from ResearchComputing/trevor_videos

Add Video Tutorials
ResearchComputing · Jun 29, 2023 · a7d9bdf · a7d9bdf
2 parents aeccb9e + 6a0f39f
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diff --git a/docs/access/duo-2-factor-authentication.md b/docs/access/duo-2-factor-authentication.md
@@ -7,6 +7,8 @@ Research Computing utilizes a 2-factor authentication utility called **Duo** tha
 
 ### Setting up Duo
 
+<iframe width="560" height="315" src="https://www.youtube.com/embed/djn9bclMD3Y" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
+
 Before you can use our large-scale resources, you will need to be enrolled in CU Boulder’s Duo two-factor authentication 
 service. If you are not presently enrolled, you can do so as follows: 
 

diff --git a/docs/access/logging-in.md b/docs/access/logging-in.md
@@ -18,12 +18,12 @@ Users accessing RC's resources will be connected to a login node. A login node i
 + **For CSU users, please refer to the [CSU login guide.](https://www.acns.colostate.edu/hpc/#remote-login)**  
 + **For RMACC users, pleaser refer to [RMACC Access to Alpine.](rmacc.html)**
 
-<iframe id="ytplayer" type="text/html" width="640" height="360" src="https://www.youtube.com/embed/PCMy5qDw3Nw?autoplay=0" frameborder="0" allowfullscreen="allowfullscreen"></iframe>  
-
 ---
 
 ### Getting an account
 
+<iframe width="560" height="315" src="https://www.youtube.com/embed/3kdW3EJS-OE" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
+
 Although Research Computing resources are free and available to the CU Boulder research community, they are also managed resources with large value and high demand. Therefore, Research Computing mandates that each user obtain a Research Computing account. Please note that **Research Computing accounts are separate from your CU accounts. You must sign up for an individual Research Computing account if you wish to access Research Computing resources.**
 
 A Research Computing account can be secured quickly and easily [by filling out the form 

diff --git a/docs/compute/filesystems.md b/docs/compute/filesystems.md
@@ -1,5 +1,7 @@
 ## Filesystems
 
+<iframe width="560" height="315" src="https://www.youtube.com/embed/xfeRDnZQrJ4" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
+
 All users are allocated space on the `/home` and `/projects`
 filesystems. In addition, separate `scratch` directories are visible
 from Alpine and Blanca. These scratch directories are hosted on

diff --git a/docs/gateways/OnDemand.md b/docs/gateways/OnDemand.md
@@ -2,6 +2,8 @@
 
 CURC Open OnDemand is a browser based, integrated, single access point for all of your high performance computing (HPC) resources at CU Research Computing. CURC Open OnDemand provides a graphical interface to view, edit, download, and upload files; manage and create job templates for CURC's clusters; and access CURC interactive applications (Virtual Desktops, Matlab, and JupyterNotebooks). All of these actions are completed via a web browser and require only minimal knowledge of Linux and scheduler commands.
 
+<iframe width="560" height="315" src="https://www.youtube.com/embed/cP6lfRWywk0" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
+
 ### Getting started with CURC Open OnDemand
 
 To connect to CURC Open OnDemand, visit [https://ondemand.rc.colorado.edu](https://ondemand.rc.colorado.edu/). The first page of CURC Open OnDemand will bring you to a login prompt. Use your CU Research Computing credentials and Duo 2-factor authentication to login. If you need a CU Research Computing account please visit [our account request page](https://curc.readthedocs.io/en/latest/access/logging-in.html) to get started.

diff --git a/docs/running-jobs/running-apps-with-jobs.md b/docs/running-jobs/running-apps-with-jobs.md
@@ -1,5 +1,7 @@
 ## Running applications with Jobs
 
+<iframe width="560" height="315" src="https://www.youtube.com/embed/dZLSEyYTiBM" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
+
 Because our HPC system is shared among many researchers, Research Computing manages usage of the system through jobs. **Jobs** are simply an allotment of resources that can be used to execute processes. Research Computing uses a program named the *Simple Linux Utility for Resource Management*, or **Slurm**, to create and manage jobs.
 
 In order to run a program on a cluster, you must request resources from Slurm to generate a job. Resources can be requested from a login node or a compile node. You must then provide commands to run your program on those requested resources. Where you provide you commands depends on whether you are running a [batch job](batch-jobs.html) or an [interactive job](interactive-jobs.html).