Isometric
发表于 2025-3-28 17:25:04
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Itinerant
发表于 2025-3-28 19:48:49
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.
MAIZE
发表于 2025-3-29 00:44:34
978-3-642-15290-0Springer-Verlag Heidelberg 2010
匍匐前进
发表于 2025-3-29 03:24:42
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地壳
发表于 2025-3-29 09:49:59
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ATOPY
发表于 2025-3-29 13:28:26
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
案发地点
发表于 2025-3-29 18:52:08
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
猛然一拉
发表于 2025-3-29 21:48:41
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cancellous-bone
发表于 2025-3-30 03:03:52
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
杀死
发表于 2025-3-30 07:20:56
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