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7 total results found

Accessing the HPC via Open OnDemand

HPC introduction

Our HPC cluster has a web interface available at ondemand.appstate.edu to anyone with an account on the cluster. This provides a more user friendly experience for people who are perhaps not comfortable with a Linux command line environment.  Open OnDemand also...

Managing your files and using the web Bash Shell in OpenOnDemand

HPC introduction

Our Research Computing HPC cluster now has file management and a bash shell available for users in a web browser via Open OnDemand.  Under the Files menu there's a link to your Home Directory: This will allow you to manage, edit, upload and download data...

Virtual Desktops in Open OnDemand

HPC introduction

Open OnDemand makes available two different virtual desktop options. These are accessible via the Interactive Apps menu: The ASU Cluster Desktop is available for all HPC users, the Computer Science Desktop is a reserved instance for users in the Department ...

Jupyter Notebooks in Python Virtual Environments

Environments on HPC

Jupyter Notebook is a popular data science and analysis application written in Python. It is probably one of our most requested resources here at AppState Research Computing. We now have some self-service ways to run it on our compute nodes. Probably the quick...

Building Conda environments in Apptainer

Environments on HPC

Apptainer is a containerization technology forked from Singularity. It's free, open source and compatible with Docker and Singularity images. This has the advantage of keeping all of your Conda environment programs in one convienent file and avoiding conflicts...

Storage

Policies Pages

Quota Our HPC cluster has 18TB of storage available to all users. By default we enforce a quota of 400GB per user. If you require more please submit a ticket and request an increase. Please also provide a timeline for how long you require the additional stora...

RStudio Open OnDemand Application

HPC introduction

We now have RStudio available through Open OnDemand. It is accessed similarly to other interactive applications, first login to OnDemand and from the home screen select Rstudio from under Interactive Apps and Servers: Next, fill out the information requeste...