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Advanced batch computing on the Flux cluster

May 20, 2019 @ 1:00 pm - 4:00 pm

Venue: Modern Languages Building (MLB), Room 2001A

This course will cover some more advanced topics in cluster computing on the U-M Flux Cluster. Topics to be covered include a review of common parallel programming models and basic use of Flux; dependent and array scheduling; advanced troubleshooting and analysis using checkjob, qstat, and other tools; and parallel debugging and profiling of C and Fortran code, including logging, gdb (line-oriented debugging), ddt (GUI-based debugging) and map (GUI-based profiling) of MPI and OpenMP programs. We will issue you a temporary allocation to use for the course, or you can use your existing Flux allocations, if any.

Course Prerequisites:  Introduction to Batch Computing on Flux or equivalent. This course assumes familiarity with the Linux command line, text editing on Linux, and a basic understanding of Flux including how to submit and track jobs.

Please use our class mailing list for questions, comments, or to seek further assistance.


May 20, 2019
1:00 pm - 4:00 pm
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