finite 发表于 2025-3-23 09:42:00
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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.Hiatal-Hernia 发表于 2025-3-23 21:50:09
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https://doi.org/10.1007/978-3-030-05051-1artificial intelligence; authentication; cloud computing; computer architecture; computer crime; computer外星人 发表于 2025-3-24 10:24:44
978-3-030-05050-4Springer Nature Switzerland AG 2018canonical 发表于 2025-3-24 14:17:54
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/153087.jpgVirtues 发表于 2025-3-24 18:51:10
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 bdry-eye 发表于 2025-3-24 21:39:04
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