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Enhancing parallel data mining performance on a large cluster using UCE scheduling

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2 Author(s)
Benjamas, N. ; Dept. of Comput. Eng., Kasetsart Univ., Bangkok, Thailand ; Uthayopas, P.

In this paper, we propose an algorithm called Unified Communication and Execution Scheduling (UCE) that combines the execution and communication scheduling for parallel data mining application together. This algorithm enables a better utilization of hardware and interconnection in a multicore cluster system for the data mining application. The idea is to choose a proper task execution sequence combine with a communication scheduling that avoids the communication conflict in the interconnection network switch. The simulation results show that a substantial performance improvement can be obtained especially with the large multicore cluster systems.

Published in:

Data Mining and Intelligent Information Technology Applications (ICMiA), 2011 3rd International Conference on

Date of Conference:

24-26 Oct. 2011

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