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Deep learning with a large number of parametersrequires distributed training, where model accuracy and runtimeare two important factors to be considered. However, there hasbeen no systematic study of the tradeoff between these two factorsduring the model training process. This paper presents Rudra, aparameter server based distributed computing framework tunedfor training large-scale deep neural networks...
At present, many application layer multicast protocols (ALM) based on multiple description coding (MDC) have been proved to be more scalable and robust than traditional multicast protocols in practical environment. In this paper, we propose an ALM system called SMD for streaming media based on MDC to address the problem of synchronization of available descriptions among maximum hosts. SMD concentrates...
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