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.

This free workshop is offered by LSA Information Technology Advocacy and Research Support, and the Office of Research Cyberinfrastructure Advanced Research Computing, in conjunction with the Teaching and Technology Collaborative, and is open to faculty, instructors, staff, and students of the University of Michigan. Registration is required. Please visit the links below to register.