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SCHEDULE: NOV 15-20, 2015
When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.
MPI+X - Hybrid Programming on Modern Compute Clusters with Multicore Processors and Accelerators
SESSION: MPI+X - Hybrid Programming on Modern Compute Clusters with Multicore Processors and Accelerators
EVENT TYPE: Tutorials
EVENT TAG(S): Programming Systems
TIME: 8:30AM - 12:00PM
Presenter(s):Rolf Rabenseifner, Georg Hager
ROOM:16AB
ABSTRACT:
Most HPC systems are clusters of shared memory nodes. Such SMP nodes can be small multi-core CPUs up to large many-core CPUs. Parallel programming may combine the distributed memory parallelization on the node interconnect (e.g., with MPI) with the shared memory parallelization inside of each node (e.g., with OpenMP or MPI-3.0 shared memory).
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. MPI-3.0 introduced a new shared memory programming interface, which can be combined with inter-node MPI communication. It can be used for direct neighbor accesses similar to OpenMP or for direct halo copies, and enables new hybrid programming models. These models are compared with various hybrid MPI+OpenMP approaches and pure MPI. This tutorial also includes a discussion on OpenMP support for accelerators. Benchmark results are presented for modern platforms such as Intel Xeon Phi and Cray XC30. Numerous case studies and micro-benchmarks demonstrate the performance-related aspects of hybrid programming. The various programming schemes and their technical and performance implications are compared. Tools for hybrid programming such as thread/process placement support and performance analysis are presented in a "how-to" section.
Chair/Presenter Details:
Rolf Rabenseifner - High Performance Computing Center Stuttgart
Georg Hager - Erlangen Regional Computing Center
Click here to download .ics calendar file
