Parallel Processing with HPC
Accelerate your HPC jobs with parallel processing, OpenMP threading and message passing interface routines
Parallel processing is a way to scale applications to deal with large datasets and complex problems. In this course, an initial revision of parallel job submission on Spartan and parallel extensions available in some applications leads to a consideration of HPC system architecture and the various limitations and bottle-necks in parallel processing.
This is followed with an introduction to the two core approaches in parallel programming: shared memory and distributed memory, using OpenMP threads and MPI message passing routines. A number of programming examples and opportunities for development are provided.
This course is FREE. To attend you must be from an AAF institution (this includes University of Melbourne and surrounding institutes).
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Duration: 5 hours
Format: 1 day intensive
What you need: Please bring your laptop and a desire to learn the basics of parallel processing.
Lev Lafayette, Lead Trainer for everything related to High Performance Computing, Spartan, Linux shell scripting and parallel programming