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 email@example.com for questions, comments, or to seek further assistance.