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Titlebook: Euro-Par 2011 Parallel Processing; 17th International E Emmanuel Jeannot,Raymond Namyst,Jean Roman Conference proceedings 2011 Springer-Ver

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發(fā)表于 2025-3-25 04:30:12 | 只看該作者
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發(fā)表于 2025-3-25 10:23:43 | 只看該作者
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發(fā)表于 2025-3-25 12:28:02 | 只看該作者
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發(fā)表于 2025-3-25 19:52:33 | 只看該作者
https://doi.org/10.1007/978-3-663-14460-1parallel computers. In this paper, we present a multi-core aware scheduling extension to JavaSymphony capable of mapping parallel applications on large multi-core machines and heterogeneous clusters. JavaSymphony scheduler considers several multi-core specific performance parameters and application
25#
發(fā)表于 2025-3-25 20:14:49 | 只看該作者
Von Chicago (1893) bis London (1908),d computing are “task hungry”—their performance is enhanced by always having as many tasks eligible for allocation to processors as possible. The . (.) paradigm for computations with intertask dependencies—modeled as .s—was developed to address the “hunger” of such platforms, by executing an input .
26#
發(fā)表于 2025-3-26 00:49:03 | 只看該作者
https://doi.org/10.1007/978-3-322-98869-0Using representative HPC and cluster workload logs, this paper identifies, analyzes, and quantifies the level of social influence across HPC users. We show the existence of a social graph that is characterized by a pattern of dominant users and followers. This pattern also follows a power-law distri
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發(fā)表于 2025-3-26 16:47:55 | 只看該作者
https://doi.org/10.1007/978-3-322-98869-0we propose a fast-converging, computationally-efficient online learning algorithm for identifying social groups. Extensive evaluation shows that our online algorithm can (1) quickly identify the social relationships by using a small portion of incoming jobs and (2) can efficiently track group evolution over time.
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