SCHEDULE: NOV 10-16, 2012
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Advanced OpenMP Tutorial
SESSION: Advanced OpenMP Tutorial
EVENT TYPE: Tutorials
TIME: 8:30AM - 5:00PM
Presenter(s):Christian Terboven, Alejandro Duran, Michael Klemm, Ruud van der Pas, Bronis R. de Supinski
ROOM:355-F
ABSTRACT:
With the increasing prevalence of multicore processors, shared-memory
programming models are essential. OpenMP is a popular, portable, widely
supported and easy-to-use shared-memory model. Developers usually find
OpenMP easy to learn. However, they are often disappointed with the performance
and scalability of the resulting code. This disappointment stems
not from shortcomings of OpenMP but rather with the lack of depth with
which it is employed. Our Advanced OpenMP Programming tutorial addresses
this critical need by exploring the implications of possible OpenMP
parallelization strategies, both in terms of correctness and performance.
While we quickly review the basics of OpenMP programming, we assume
attendees understand basic parallelization concepts and will easily grasp
those basics. We discuss how OpenMP features are implemented and then
focus on performance aspects, such as data and thread locality on NUMA
architectures, false sharing, and private versus shared data. We discuss
language features in-depth, with emphasis on features recently added to
OpenMP such as tasking. We close with debugging, compare various tools,
and illustrate how to avoid correctness pitfalls.
Chair/Presenter Details:
Christian Terboven - RWTH Aachen University
Alejandro Duran - Intel Corporation
Michael Klemm - Intel Corporation
Ruud van der Pas - Oracle
Bronis R. de Supinski - Lawrence Livermore National Laboratory
Click here to download .ics calendar file
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Advanced OpenMP Tutorial
SESSION: Advanced OpenMP Tutorial
EVENT TYPE:
TIME: 8:30AM - 5:00PM
Presenter(s):Christian Terboven, Alejandro Duran, Michael Klemm, Ruud van der Pas, Bronis R. de Supinski
ROOM:355-F
ABSTRACT:
With the increasing prevalence of multicore processors, shared-memory
programming models are essential. OpenMP is a popular, portable, widely
supported and easy-to-use shared-memory model. Developers usually find
OpenMP easy to learn. However, they are often disappointed with the performance
and scalability of the resulting code. This disappointment stems
not from shortcomings of OpenMP but rather with the lack of depth with
which it is employed. Our Advanced OpenMP Programming tutorial addresses
this critical need by exploring the implications of possible OpenMP
parallelization strategies, both in terms of correctness and performance.
While we quickly review the basics of OpenMP programming, we assume
attendees understand basic parallelization concepts and will easily grasp
those basics. We discuss how OpenMP features are implemented and then
focus on performance aspects, such as data and thread locality on NUMA
architectures, false sharing, and private versus shared data. We discuss
language features in-depth, with emphasis on features recently added to
OpenMP such as tasking. We close with debugging, compare various tools,
and illustrate how to avoid correctness pitfalls.
Chair/Presenter Details:
Christian Terboven - RWTH Aachen University
Alejandro Duran - Intel Corporation
Michael Klemm - Intel Corporation
Ruud van der Pas - Oracle
Bronis R. de Supinski - Lawrence Livermore National Laboratory
Click here to download .ics calendar file