The performance impact of different master nodes on parallel loop self-scheduling schemes for rule-based expert systems

Chao Chin Wu, Lien Fu Lai, Liang Tsung Huang, Chao Tung Yang, Chung Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationSecurity-Enriched Urban Computing and Smart Grid - Second International Conference, SUComS 2011, Proceedings
Pages149-158
Number of pages10
DOIs
Publication statusPublished - 2011 Nov 11
Event2nd International Conference on the Emerging Areas of Security-Enriched Urban Computing and Smart Grids, SUComS 2011 - Hualien, Taiwan
Duration: 2011 Sep 212011 Sep 23

Publication series

NameCommunications in Computer and Information Science
Volume223 CCIS
ISSN (Print)1865-0929

Other

Other2nd International Conference on the Emerging Areas of Security-Enriched Urban Computing and Smart Grids, SUComS 2011
CountryTaiwan
CityHualien
Period11-09-2111-09-23

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

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    Wu, C. C., Lai, L. F., Huang, L. T., Yang, C. T., & Lu, C. (2011). The performance impact of different master nodes on parallel loop self-scheduling schemes for rule-based expert systems. In Security-Enriched Urban Computing and Smart Grid - Second International Conference, SUComS 2011, Proceedings (pp. 149-158). (Communications in Computer and Information Science; Vol. 223 CCIS). https://doi.org/10.1007/978-3-642-23948-9_18