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SESSION: S01: Hybrid MPI and OpenMP Parallel Programming
EVENT TYPE: Tutorial
TIME: 8:30AM - 12:00PM
Presenter(s):Rolf Rabenseifner,, Georg Hager, Gabriele Jost
ABSTRACT: Most HPC systems are clusters of shared memory nodes. Such systems can be PC clusters with single/multi-socket and multi-core SMP nodes, but also "constellation" type systems with large SMP nodes. Parallel programming may combine the distributed memory parallelization on the node interconnect with the shared memory parallelization inside of each node.
This tutorial analyzes the strengths and weaknesses of several parallel programming models on clusters of SMP nodes. Multi-socket-multi-core systems in highly parallel environments are given special consideration. This includes a discussion on planned future OpenMP support for accelerators. Various hybrid MPI+OpenMP approaches are compared with pure MPI, and benchmark results on different platforms are presented. Numerous case studies demonstrate the performance-related aspects of hybrid MPI/OpenMP programming, and application categories that can take advantage of hybrid programming are identified.
Tools for hybrid programming such as thread/process placement support and performance analysis are presented in a "how-to" section.
Rolf Rabenseifner, - High Performance Computing Center Stuttgart (HLRS), University of Stuttgart
Georg Hager - Erlangen Regional Computing Center (RRZE)
Gabriele Jost - Texas Advanced Computing Center, The University of Texas at Austin