ARCSIM (Advanced Research Computing, Data Security, and Information Management) strives to provide its research user community the best possible service in the most timely and cost-effective manner. Its primary goal is to support the advancement of research and discoveries of global impact and local relevance that are enabled through technological solutions.
Free Virtual Training Events at Ohio Supercomputer Center
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Introduction to Regression Analysis with Python - October 27, 2023 - 1:00pm to 4:00pm EST
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Introduction to Simple Linear Regression with R - November 1, 2023 - 1:00pm to 3:00pm EST
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Multiple Linear Regression with R - November 2, 2023 - 1:00pm to 3:00pm EST
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Logistic Regression with R - November 3, 2023 - 1:00pm to 3:00pm EST
Free Virtual Training Events at Texas Advanced Computing Center *Registration is limited for both events
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HPC at TACC - November 1-2, 2023 - 11:00am to 5:00pm EST
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Machine Learning - November 6-8, 2023 - 11:00am to 4:00pm EST
Here you will find various software tutorials, training resources, and cheat sheets created for UMS research needs. If you are looking for training content not currently listed below or have questions pertaining to any of the content, email ARCSIM at um.arcsim@maine.edu.
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HPC at Texas Advanced Computing Center
- Overview of the Bash Shell (Linux)
- How to connect to Stampede2 Server
- Submitting Jobs
- Conda Environment
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HPC at Ohio Supercomputer Center
- How to connect to Owens Server
- Directories
- New User Guides
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- Account setup
- Overview of the Discovery Environment
- iCommands to manage DataStore
- Custom built application for metabarcoding
Below are links to some of the current groups at the University of Maine involving research and computing. If you would like your research group or project linked below to be accessible to the UMS research community, email ARCSIM at um.arcsim@maine.edu with your project links.
