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

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,Differentialdiagnostische Erwägungen,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
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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
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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
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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
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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
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