June 6, 2016 – University of Michigan, Ann Arbor, MI

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; use of common scientific applications including Python, MATLAB, and R in parallel environments; 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; and an introduction to using GPUs. We will issue you a temporary allocation to use for the course, or you can use your existing Flux allocations, if any. To learn more and register for this event, please visit http://cscar.research.umich.edu/event/hpc201/