Blogs
Job Efficiency: Historical Seff
It's important to request only the resources that are necessary for your job at hand. Requesting more than is necessary will result with a longer queue time for both your job and for other users that are waiting for the resources to be freed. You can inform your...
Installing OLLAMA on the HPC Cluster
OLLAMA (Omni-Layer Learning Language Acquisition Model) is a platform that allows you to run open large language models (LLMs) locally rather than using cloud-hosted solutions. This allows you to use and develop these LLMs in a simple, private, and cost-effective way....
RC Spring Researcher Spotlight Series: Paul Whitford
Paul Whitford, professor of physics, has been using the Discovery Cluster to understand the molecular properties that enable biological function and disease processes. Using the Discovery Cluster to perform large and complex calculations allows Paul to explain, and...
HPC Cluster Partition Improvements
The Research Computing team recently made some exciting operational enhancements to improve the user experience and reduce queue wait time. A partition is a logical collections of nodes that comprise different hardware resources and limits to help meet the wide...
Courses on Explorer
Using the Explorer High Performance Computing (HPC) Cluster is a great way to help your students develop and build essential HPC skills. The Research Computing (RC) team is here to make learning and teaching HPC as easy as possible for instructors and their students....
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