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|Title: ||The Performance Impact of Different Master Nodes on Parallel Loop Self-Scheduling Schemes for Rule-based Expert Systems|
|Authors: ||Wu, Chao-Chin;Lai, Lien-Fu;Huang, Liang-Tsung;Yang, Chao-Tung;Lu, Chung|
|Keywords: ||Parallel computing;Cluster system;Heterogeneous system;Self scheduling;File system|
|Issue Date: ||2012-07-02T02:27:33Z
|Abstract: ||The technique of parallel loop self-scheduling has been successfully applied to auto-parallelize rule-based expert systems previously. In a|
heterogeneous system, different compute nodes have different computer powers. Therefore, we have to choose a node to run the master process before running an application. In this paper, we focus on how different master nodes influence the performances of different self-scheduling schemes. In addition, we will investigate how the file system influences the performance. Experimental results give users the good guidelines on how to choose the master node, the self-scheduling scheme, and the file system for storing the results.
|Relation: ||The 2nd International Conference on Security-enriched Urban Computing and Smart Grids (SUComS 2011), September 21-23, 2011: 149-158|
|Appears in Collections:||[資訊工程學系] 會議論文|
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