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- W2048235721 abstract "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." @default.
- W2048235721 created "2016-06-24" @default.
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- W2048235721 date "2013-01-01" @default.
- W2048235721 modified "2023-10-16" @default.
- W2048235721 title "Experimenting with low-overhead OpenMP runtime on IBM Blue Gene/Q" @default.
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- W2048235721 doi "https://doi.org/10.1147/jrd.2012.2228769" @default.
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