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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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41#
發(fā)表于 2025-3-28 15:51:15 | 只看該作者
Scaling FMM with Data-Driven OpenMP Tasks on Multicore Architecturesy a methodology to spawn work units characterized by a high data locality potential. Work units operate on tiled computational patterns and serve as building blocks in an OpenMP task-based data-driven execution. In particular, by the adjusting work unit granularity, idle times and runtime overheads
42#
發(fā)表于 2025-3-28 21:34:33 | 只看該作者
A Proposal to OpenMP for Addressing the CPU Oversubscription ChallengeOMP). The evaluation results demonstrate the effectiveness of the proposed approach to address the CPU oversubscription challenge and detailed analysis provide heuristics for selecting an optimal wait policy according to the oversubscription ratios.
43#
發(fā)表于 2025-3-29 01:09:23 | 只看該作者
44#
發(fā)表于 2025-3-29 04:15:01 | 只看該作者
45#
發(fā)表于 2025-3-29 11:08:23 | 只看該作者
Approaches for Task Affinity in OpenMPures. We assess design issues for task affinity and explore several approaches to enable it. We evaluate these proposals with implementations in the Nanos++ and LLVM OpenMP runtimes that improve performance up?to 40?% and significantly reduce execution time variation.
46#
發(fā)表于 2025-3-29 12:41:46 | 只看該作者
0302-9743 in topical sections named: applications, locality, task parallelism, extensions, tools, accelerator programming, and performance evaluations and optimization.978-3-319-45549-5978-3-319-45550-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
47#
發(fā)表于 2025-3-29 18:51:00 | 只看該作者
48#
發(fā)表于 2025-3-29 23:02:52 | 只看該作者
49#
發(fā)表于 2025-3-30 03:13:37 | 只看該作者
OpenMP Extension for Explicit Task Allocation on NUMA Architecturener. The prototype compiler is implemented based on GCC. The performance evaluation using the KASTORS benchmark shows that our approach can reduce remote page access. The Jacobi kernel using our approach shows 3.6 times better performance than GCC when using 36 threads on a 36-core, 4-NUMA node machine.
50#
發(fā)表于 2025-3-30 04:56:55 | 只看該作者
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