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Titlebook: Euro-Par 2014: Parallel Processing Workshops; Euro-Par 2014 Intern Luís Lopes,Julius ?ilinskas,Michael Alexander Conference proceedings 201

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樓主: aspirant
11#
發(fā)表于 2025-3-23 11:19:16 | 只看該作者
,Differentialdiagnostische Erw?gungen,t Vector Problem (SVP)..In this paper, we conduct a comprehensive, empirical comparison of two SVP-solvers: ListSieve and GaussSieve. We also propose a practical parallel implementation of ListSieve, which achieves super-linear speedups on multi-core CPUs, with efficiency levels as high as 183%. By
12#
發(fā)表于 2025-3-23 16:56:50 | 只看該作者
13#
發(fā)表于 2025-3-23 18:27:27 | 只看該作者
Die Frauen in Alt-Schnepfenthal,for firm expansion using shared-memory parallel computing systems. The performance of the developed algorithm is experimentally investigated by solving competitive facility location problems, using up to 16 shared-memory processing units. It is shown that the developed algorithm has advantages again
14#
發(fā)表于 2025-3-23 22:43:19 | 只看該作者
Chemische Eigenschaften und Feinbau, the support of a custom software tuned with experiment requirements. In this work we present a web services based platform focused on the cell counting problem. Using OpenCF, a web services development framework, we integrate in a single platform services oriented to image processing and classifyin
15#
發(fā)表于 2025-3-24 03:25:50 | 只看該作者
16#
發(fā)表于 2025-3-24 07:28:26 | 只看該作者
17#
發(fā)表于 2025-3-24 14:10:32 | 只看該作者
https://doi.org/10.1007/978-3-663-09695-5ew challenges. MapReduce is one answer to the need for scalable tools able to handle the amount of data. It imposes a general structure of computation and let the implementation perform its optimizations. During the computation, there is a phase called . where every node sends a possibly large amoun
18#
發(fā)表于 2025-3-24 16:44:43 | 只看該作者
Thomas Schweer,Hermann Strassernd analysis solutions for large scale graphs. Among the others, the . is a well known NP-complete problem with a wide range of applications. Several solutions have been proposed so far, however most of the existing state-of-the-art algorithms are not directly applicable in very large-scale distribut
19#
發(fā)表于 2025-3-24 19:24:15 | 只看該作者
20#
發(fā)表于 2025-3-25 00:08:16 | 只看該作者
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