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	Distrim: Parallel GMM learning on multicore cluster
	Renyong Yang; Tengke Xiong; Tao Chen; Zhexue Huang; Shengzhong Feng
	2012
会议名称	Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on
会议地点	中国
英文摘要	Learning GMM model on extreme large data is challenging. We provide theoretical support for the feasibility of parallel EM-based GMM learning via distributed computing, and also design and implement a distributed memory sharing GMM learning system on multicore clusters, which is named as Distrim. Distrim aims to maximize the usage of computational power and minimize the communication overheads as much as possible. The experimental results show that Distrim is much more efficient than Hadoop, and also has a good scalability with respect to the number of computing nodes.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/4229]
专题	深圳先进技术研究院_数字所
作者单位	2012
推荐引用方式 GB/T 7714	Renyong Yang,Tengke Xiong,Tao Chen,et al. Distrim: Parallel GMM learning on multicore cluster[C]. 见:Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on. 中国.

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