Remote Desktop Launch
Jupyter Hub Launch
Rstudio Launch

Overview of Scholar

Scholar is a small computer cluster, suitable for classroom learning about high performance computing (HPC). It consists of 7 interactive login servers and 8 batch worker nodes.

It can be accessed as a typical cluster, with a job scheduler distributing batch jobs onto its worker nodes, or as an interactive resource, with software packages available through a desktop-like environment on its login servers.

If you have a class that you think will benefit from the use of Scholar, you can schedule it for your class through our web page at: Class Account Request. You only need to register your class itself. All students who register for the class will automatically get login privileges to the Scholar cluster. As a batch resource, the cluster has access to typical HPC software packages and tool chains; as an interactive resource, Scholar provides a Linux remote desktop, or a Jupyter notebook server, or an R Studio server. Jupyter and R Studio can be used by students without any reliance on Linux knowledge or experience.

Scholar Specifications

All Scholar compute nodes have 20 processor cores, 64 GB RAM, and 56 Gbps Infiniband interconnects.
Front-Ends Number of Nodes Processors per Node Cores per Node Memory per Node Retires in
No GPU 4 Two Kaby Lake CPUs @ 2.60GHz 20 512 GB 2023
With GPU 3 Two Sky Lake CPUs @ 2.60GHz with one NVIDIA Tesla V100 20 754 GB 2023
Sub-Cluster Number of Nodes Processors per Node Cores per Node Memory per Node Retires in
A 8 Two Kaby Lake CPUs @ 2.60GHz 20 64 GB 2023

Faculty who would like to know more about Scholar, please read the Faculty Guide

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