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.
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 Haswell 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||24||Two Haswell CPUs @ 2.60GHz||20||64 GB||2023|
|G||4||Two Skylake CPUs @ 2.10GHz with one NVIDIA Tesla V100 32GB||16||192 GB||2023|
Faculty who would like to know more about Scholar, please read the Faculty Guide