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October workshop to cover high-performance computing with Purdue’s community clusters

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A hands-on workshop from ITaP Research Computing is designed to help faculty, staff and students who want to learn how to use, or make better use of, Purdue’s high-performance computing resources, especially the Community Cluster Program research supercomputers.

The Clusters 101 workshop will take place from 9 a.m. to noon on Oct. 17 and 19, in Beering Hall, Room B286. New material will be covered at each class, so participants should attend both days. The sessions will cover such topics as:

  • Cluster basics, including the difference between login and compute nodes.
  • User environments, focusing on modules, working and storage space, and job types.
  • Jobs, queues and PBS, with information on such things as resource allocation, nodes, cores and memory, creating a submission script, and submitting and monitoring a job.
  • And interactive jobs, featuring a hands-on lab for creating one.

Participants should have knowledge of basic UNIX commands. ITaP is offering a two-part UNIX 101 workshop in September and early October that those with limited UNIX experience should take first. More information about the UNIX training is located here. Attendees should register for the clusters workshop at https://www.eventreg.purdue.edu/training/CourseListing.aspx?master_id=5668&master_version=1&course_area=1079&course_number=112&course_subtitle=00.

The UNIX and Clusters workshops are popular and frequently have a waiting list. If you register and then discover you can’t attend, please go back into the registration system and drop the course, or email rcac-help@purdue.edu.

The goal of the workshops is to give current and future community cluster users an overview of the high-performance computing resources available at Purdue and guidance on how to use those resources efficiently, says Eric Adams, who coordinates training for ITaP Research Computing. There is no fee to register.

For more information about this workshop, email rcac-help@purdue.edu.

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