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Closed cube computation on multi-core CPUs

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4 Author(s)
Hua Luan ; Coll. of Inf. Sci. & Technol., Beijing Normal Univ., Beijing, China ; Mingquan Zhou ; Yan Fu ; Xuesong Wang

Closed cube computation is a popular method to solve the huge output problem of data cubing and has attracted great interests among researchers. A lot of efficient algorithms such as QC-DFS, C-Cubing and CC ALG have been proposed. However, due to significant changes in computer hardware architecture in recent years, these algorithms need to be revisited to achieve good performance. In this paper, we present a parallel algorithm for closed cube computation on multi-core CPUs to fully utilize the processor resources. In our algorithm, a cost-based load balance strategy is designed to deal with data skews and partitions based on each individual dimension are simultaneously computed to generate closed cells. An extensive performance study is conducted and the results show that good speedups can be gained for the parallel algorithm.

Published in:

Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on

Date of Conference:

29-31 May 2012

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