HPC Cluster Open OnDemand: Difference between revisions
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* Access a browser-based terminal to a login node or development node to perform command-line tasks | * Access a browser-based terminal to a login node or development node to perform command-line tasks | ||
* Launch interactive GUI-based and web-based applications such as a virtual desktop (VDI), various visualization applications and coding environments like Jupyter and RStudio. | * Launch interactive GUI-based and web-based applications such as a virtual desktop (VDI), various visualization applications and coding environments like Jupyter and RStudio. | ||
* | * Connect to other web-based applications via a curated menu of URLs. | ||
The [http://openondemand.org Open OnDemand project website] contains additional information about the current and future | The [http://openondemand.org Open OnDemand project website] contains additional information about the current and future directions of the project. | ||
===ELSA Open OnDemand Tour=== | ===ELSA Open OnDemand Tour=== | ||
<embedvideo service="youtube" urlargs="rel=0">https://www.youtube.com/watch?v= | <embedvideo service="youtube" urlargs="rel=0">https://www.youtube.com/watch?v=AIzf7JjqfLc</embedvideo> |
Latest revision as of 17:35, 13 April 2022
ELSA Open OnDemand Overview
ELSA's Open OnDemand system is a browser-based interface to many common HPC workflows. It allows end-users to perform the following tasks on the HPC cluster:
- Create, delete and manipulate directories/folders
- Create, delete, move, rename as well as view and edit text files
- Upload and download files to/from a local computer
- See a list of cluster jobs in the queue (running or waiting) along with some details about each job
- Access a browser-based terminal to a login node or development node to perform command-line tasks
- Launch interactive GUI-based and web-based applications such as a virtual desktop (VDI), various visualization applications and coding environments like Jupyter and RStudio.
- Connect to other web-based applications via a curated menu of URLs.
The Open OnDemand project website contains additional information about the current and future directions of the project.