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Titlebook: OpenMP: Memory, Devices, and Tasks; 12th International W Naoya Maruyama,Bronis R. de Supinski,Mohamed Wahib Conference proceedings 2016 Spr

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Towards Unifying OpenMP Under the Task-Parallel Paradigmogrammers are given the opportunity to choose between the two parallel paradigms to parallelize their for loops. However, it is unclear where and when the two approaches should be used when writing efficient parallel applications..In this paper, we explore the taskloop construct. We study performanc
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A Case for Extending Task Dependenciesnce the release of OpenMP 4 task dependencies have made an already flexible tool practical in many more situations. Even so, while tasks can be made asynchronous with respect to the encountering thread, there are no mechanisms to tie an OpenMP task into a truly asynchronous operation outside of Open
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OpenMP as a High-Level Specification Language for Parallelisme arisen in recent years. Fairly evaluating these programming systems can be challenging and can require significant manual effort on the part of researchers. However, it is important to facilitate these comparisons as a way of advancing both the available OpenMP runtimes and the research being done
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Scaling FMM with Data-Driven OpenMP Tasks on Multicore Architecturesand nested parallelism have proved successful for regular computational patterns. For more complex and irregular cases, however, these methods often perform poorly because they consider only a subset of these costs. Although data-driven methods are gaining popularity for efficiently utilizing comput
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Reducing the Functionality Gap Between Auto-Vectorization and Explicit Vectorization4.5 standardization. There is a known functionality gap, where some auto-vectorizable code does not have adequate syntax support for explicit vector programming. In this paper, we propose and discuss a few syntax extensions to reduce the gap for compress/expand and histogram idioms, which are common
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Naoya Maruyama,Bronis R. de Supinski,Mohamed WahibIncludes supplementary material:
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OpenMP: Memory, Devices, and Tasks978-3-319-45550-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
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