By a News Reporter-Staff News Editor at Computer Weekly News -- Investigators publish new report on Supercomputing. According to news reporting originating in Cordoba, Spain, by VerticalNews journalists, research stated, "Association rule mining is a well-known data mining task, but it requires much computational time and memory when mining large scale data sets of high dimensionality. This is mainly due to the evaluation process, where the antecedent and consequent in each rule mined are evaluated for each record."
The news reporters obtained a quote from the research from the University of Cordoba, "This paper presents a novel methodology for evaluating association rules on graphics processing units (GPUs). The evaluation model may be applied to any association rule mining algorithm. The use of GPUs and the compute unified device architecture (CUDA) programming model enables the rules mined to be evaluated in a massively parallel way, thus reducing the computational time required. This proposal takes advantage of concurrent kernels execution and asynchronous data transfers, which improves the efficiency of the model. In an experimental study, we evaluate interpreter performance and compare the execution time of the proposed model with regard to single-threaded, multi-threaded, and graphics processing unit implementation. The results obtained show an interpreter performance above 67 billion giga operations per second, and speed-up by a factor of up to 454 over the single-threaded CPU model, when using two NVIDIA 480 GTX GPUs."
According to the news reporters, the research concluded: "The evaluation model demonstrates its efficiency and scalability according to the problem complexity, number of instances, rules, and GPU devices."
For more information on this research see: High performance evaluation of evolutionary-mined association rules on GPUs. Journal of Supercomputing, 2013;66(3):1438-1461. Journal of Supercomputing can be contacted at: Springer, Van Godewijckstraat 30, 3311 Gz Dordrecht, Netherlands. (Springer - www.springer.com; Journal of Supercomputing - www.springerlink.com/content/0920-8542/)
Our news correspondents report that additional information may be obtained by contacting A. Cano, University of Cordoba, Dept. of Comp Sci & Numer Anal, E-14071 Cordoba, Spain. Additional authors for this research include J.M. Luna and S. Ventura.
Keywords for this news article include: Spain, Europe, Cordoba, Supercomputing
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