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Titlebook: Algorithms and Architectures for Parallel Processing; 12th International C Yang Xiang,Ivan Stojmenovic,Albert Zomaya Conference proceedings

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51#
發(fā)表于 2025-3-30 09:18:09 | 只看該作者
Ma?nahmen zur Verhütung von Frostsch?denoduce a significantly improved multi-grain parallelization scheme which outperforms both the fine-grain as well as the coarse-grain versions of OmegaPlus with respect to parallel efficiency. The multi-grain approach exploits both coarse-grain and fine-grain operations by using available threads/core
52#
發(fā)表于 2025-3-30 15:43:33 | 只看該作者
https://doi.org/10.1007/978-3-642-91457-7terogeneous assignment problem. We also propose a heuristic, the Ratio Greedy Assign algorithm (RGA), to solve the problem efficiently for directed acyclic graphs (DAG). According to our experimental results, the Ratio Greedy Assign algorithm generates near-optimal results efficiently for all the be
53#
發(fā)表于 2025-3-30 19:12:32 | 只看該作者
54#
發(fā)表于 2025-3-30 21:57:11 | 只看該作者
,Der Fu? bei Systemerkrankungen,to prove the conclusions. The results show that, if we properly adjust the CPU time distribution ratio according to different request sizes and different ratios of read/write requests, the system can improve the throughput more than 17% compared to the original one and can greatly reduce the mean re
55#
發(fā)表于 2025-3-31 02:04:23 | 只看該作者
56#
發(fā)表于 2025-3-31 05:54:08 | 只看該作者
https://doi.org/10.1007/978-3-642-91457-7cess latency .. We first show that the sum of . numbers can be computed in . time units on the DMM and the UMM. We then go on to show that . time units are necessary to compute the sum. Finally, we show an optimal parallel algorithm that computes the prefix-sums of . numbers in . time units on the DMM and the UMM.
57#
發(fā)表于 2025-3-31 11:17:58 | 只看該作者
58#
發(fā)表于 2025-3-31 13:52:58 | 只看該作者
https://doi.org/10.1007/978-3-642-91457-7linear quadtree in the breadth-first order. The hash is performed in two steps: an internal hash to index child nodes and an external hash to index nodes in the same level (depth). The quadtree descent is performed by considering each level as a vector segment of a linear quadtree, so that nodes of the same level can be processed concurrently.
59#
發(fā)表于 2025-3-31 17:52:41 | 只看該作者
60#
發(fā)表于 2025-3-31 23:10:45 | 只看該作者
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