Titlebook: OpenMP: Advanced Task-Based, Device and Compiler Programming; 19th International W Simon McIntosh-Smith,Michael Klemm,Jannis Klinkenb Confe

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OpenMP Target Offload Utilizing GPU Shared Memory different GPU technologies and vendors. We further investigate scheduling, synchronization and execution time of our experiments, to better understand the overhead associated with using OpenMP, compared to architecture specific languages. Lastly, we argue that improved GPU scheduling could yield a potential speedup of 3.

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Generalizing Hierarchical Parallelismindividual levels, each time adding another concept such as places, teams, and progress groups. In this paper we propose going back to the roots of OpenMP in the form of nested parallelism for a simpler model and more flexible handling of arbitrary deep hardware hierarchies.

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0302-9743 opical sections: OpenMP and AI; Tasking Extensions; OpenMP Offload Experiences; Beyond Explicit GPU Support; and OpenMP Infrastructure and Evaluation..978-3-031-40743-7978-3-031-40744-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

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