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Titlebook: Euro-Par 2010 - Parallel Processing; 16th International E Pasqua D’Ambra,Mario Guarracino,Domenico Talia Conference proceedings 2010 Spring

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41#
發(fā)表于 2025-3-28 17:25:04 | 只看該作者
42#
發(fā)表于 2025-3-28 19:48:49 | 只看該作者
https://doi.org/10.1007/978-3-322-98919-2trate that the parallel performance of this kind of algorithm is significantly improved if they are applied in combination with the Smoothed Aggregation approach, since this reduces the number of communication events. The resulting hybrid algorithms are particularly beneficial on systems where the number of messages limits the performance.
43#
發(fā)表于 2025-3-29 00:44:34 | 只看該作者
978-3-642-15290-0Springer-Verlag Heidelberg 2010
44#
發(fā)表于 2025-3-29 03:24:42 | 只看該作者
45#
發(fā)表于 2025-3-29 09:49:59 | 只看該作者
46#
發(fā)表于 2025-3-29 13:28:26 | 只看該作者
Thorsten Kuthe,Madeleine Zipperleevel programming abstractions, high-performance implementations, and experimental evaluation. Ongoing research in this field emphasizes the design and development of correct, high-performance, portable, and scalable parallel programs. Related to these central needs, important work addresses methods
47#
發(fā)表于 2025-3-29 18:52:08 | 只看該作者
https://doi.org/10.1007/978-3-322-98918-5tency, but scales well. We present transactional mutex locks (TML), which attempt to achieve the best of both worlds for read-dominated workloads. We also propose compiler optimizations that reduce the latency of TML to within a small fraction of mutex overheads..Our evaluation of TML, using microbe
48#
發(fā)表于 2025-3-29 21:48:41 | 只看該作者
49#
發(fā)表于 2025-3-30 03:03:52 | 只看該作者
https://doi.org/10.1007/978-3-642-86241-0llel programming. However, two nontrivial tasks still remain unresolved when we need nested data structures: The first is composing skeletons to generate and consume them; and the second is applying optimization theorems to obtain efficient parallel programs. In this paper, we propose a novel librar
50#
發(fā)表于 2025-3-30 07:20:56 | 只看該作者
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