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Multi-core processors are proliferated across different domains in recent years. This paper studies the performance of frequent pattern mining on a modern multi-core machine. A detailed study shows that, even with the best implementation, current FP-tree based algorithms still under-utilize a multi-core system due to poor data locality and insufficient parallelism expression. The paper proposes two techniques, a cache-conscious FP-array (frequent pattern array) and a lock-free dataset tiling parallelization mechanism to address this problem. The FP-array efficiently improves the data locality performance, and makes use of the benefits from hardware and software prefetching.

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Format:PDFSize:397 KB
Date:Sep 2007
Pages:11

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