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The computing and data storage resources are available for use in the classroom for registrar scheduled courses. See Teaching Uses below.
Download Flyers HPC and Services
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Additional Storage: Additional storage is available by purchasing a Ceph project volume @ $375/TB for 5 years. To request additional home directory storage, please submit request to http://lts.lehigh.edu/help.
Definition of One Core-hour/Service Unit/SU: 1 hour of computing on 1 core. The base compute node on Sol with 20 cores will consume 20 SUs per hour of computing.
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Faculty members considering use of research computing facilities (including Kubernetes based JupyterHub and RStudio Server) for teaching purposes should request an Education Allocation at least eight weeks prior to the class start date with an anticipated enrollment count, a proposed syllabus, and details of their proposed use of HPC systems.
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Instructors requiring assistance with estimating total or per student SU requirements for the course should contact Research Computing Staff at least 4 weeks prior to beginning of the semester. Currently, there are no plans for metering usage on the Kubernetes cluster.
Usage Policy: Student accounts cannot be shared and will be active until two weeks past the end of the semester. All compute intensive tasks must be submitted via the batch scheduler. We reserve the right to suspend accounts of users who run compute intensive jobs on the Sol login node. On request, LTS Research Computing staff will guest lecture on how to use the resource, write and submit job scripts and monitor jobs. Compute intensive task is defined as any operation on the HPC resource other than editing, copying, moving or deleting files, submitting and monitoring jobs and issuing simple commands such as ls, cp, mv, mkdir, rm, tail, tar, gzip/gunzip, more, cat and less. All student data not saved in the Ceph project space will be purged when accounts are deactivated.
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