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.
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© 2011 Springer-Verlag Berlin Heidelberg
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Wu, CC., Lai, LF., Huang, LT., Yang, CT., Lu, C. (2011). The Performance Impact of Different Master Nodes on Parallel Loop Self-scheduling Schemes for Rule-Based Expert Systems. In: Chang, RS., Kim, Th., Peng, SL. (eds) Security-Enriched Urban Computing and Smart Grid. SUComS 2011. Communications in Computer and Information Science, vol 223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23948-9_18
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DOI: https://doi.org/10.1007/978-3-642-23948-9_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23947-2
Online ISBN: 978-3-642-23948-9
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