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This paper considers the clustering algorithm based on mixture of probabilistic principle component analyzers in distributed environments. The EM procedure of it is first transformed to a summing variant. Following the classic distributed EM framework for mixture of exponential family distributions and utilizing the summing variant, we propose the distributed EM for mixture of probabilistic principle...
For parallel applications running on high-performance clusters, performance is usually satisfied without paying much attention to energy consumption. In this paper, we develop a new scheduling algorithm called Energy efficient Scheduling Algorithm based on DVS and Dynamic threshold (ESADD), which combines dynamic threshold-based task duplication strategy with dynamic voltage scaling (DVS) technique...
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