BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121111T153000Z
DTEND:20121111T190000Z
LOCATION:355-F
DESCRIPTION;ENCODING=QUOTED-PRINTABLE: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. =0A=0AThis 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 this model are identified. Tools for hybrid programming such as thread/process placement support and performance analysis are presented in a "how-to" section.=0A=0ADetails: https://fs.hlrs.de/projects/rabenseifner/publ/SC2012-hybrid.html
SUMMARY:Hybrid MPI and OpenMP Parallel Programming
PRIORITY:3
END:VEVENT
END:VCALENDAR
BEGIN:VCALENDAR
PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20121111T153000Z
DTEND:20121111T190000Z
LOCATION:355-F
DESCRIPTION;ENCODING=QUOTED-PRINTABLE: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. =0A=0AThis 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 this model are identified. Tools for hybrid programming such as thread/process placement support and performance analysis are presented in a "how-to" section.=0A=0ADetails: https://fs.hlrs.de/projects/rabenseifner/publ/SC2012-hybrid.html
SUMMARY:Hybrid MPI and OpenMP Parallel Programming
PRIORITY:3
END:VEVENT
END:VCALENDAR