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

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2 Author(s)
Nunnapus Benjamas ; Department of Computer Engineering, Kasetsart University, Bangkok 10900, Thailand ; Putchong Uthayopas

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