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Titlebook: Algorithms and Architectures for Parallel Processing; 18th International C Jaideep Vaidya,Jin Li Conference proceedings 2018 Springer Natur

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Comparative Study of Distributed Deep Learning Tools on Supercomputerss the fastest in computing speed benefiting from its optimization for CPU, but it suffers from long communication delay due to the dependency on MapReduce framework. The insights and conclusions from our evaluation provides significant reference for improving resource utility of supercomputer resources in distributed deep learning.
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https://doi.org/10.1007/978-3-030-05051-1artificial intelligence; authentication; cloud computing; computer architecture; computer crime; computer
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978-3-030-05050-4Springer Nature Switzerland AG 2018
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/153087.jpg
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Beispiele von Modellen zum Formen,on clusters of commodity hardware. Existing workload grouping strategies in a DSP system can be classified into four categories (i.e. raw and blind, data skewness, cluster heterogeneity, and dynamic load-aware). However, these traditional stream grouping strategies do not consider network distance b
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