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Experimenting with low-overhead OpenMP runtime on IBM Blue Gene/Q

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2 Author(s)
A. E. Eichenberger ; IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, NY, USA ; K. O'Brien

As newer supercomputers continue to increase the number of threads, there is growing pressure on applications to exploit more of the available parallelism in their codes, including coarse-, medium-, and fine-grain parallelism. OpenMP™ is one of the dominant shared-memory programming models and is well suited for exploiting medium- and fine-grain parallelism. OpenMP research has focused on application tuning, compiler optimizations, programming-model extensions, and porting to distributed-memory platforms; however, we have found that current algorithms used to implement basic OpenMP constructs have significant overheads and scale poorly. In this paper, we explore low-overhead, scalable algorithms for creating parallel regions and demonstrate reductions in overhead of up to a factor of 5 on an IBM Blue Gene®/Q node.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Journal of Research and Development  (Volume:57 ,  Issue: 1/2 )