Interactive Data Mining on a CBEA Cluster

被引：0

作者：

McConnell, Sabine ^{[1
]}

Patton, David ^{[2
]}

Hurley, Richard ^{[1
]}

Blight, Wilfred ^{[1
]}

Young, Graeme ^{[1
]}

机构：

[1] Trent Univ, Dept Comp & Informat Syst, 1600 W Bank Dr, Peterborough, ON K9J 7B8, Canada

[2] Trent Univ, Dept Phys & Astron, Peterborough, ON K9J 7B8, Canada

来源：

HIGH PERFORMANCE COMPUTING SYSTEMS AND APPLICATIONS | 2010年 / 5976卷

关键词：

CELL Processor; Data Mining; High Performance Computing; Nearest Neighbour; Decision Tree; ALGORITHMS; MEMORY;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We present implementations of two data-mining algorithms on a CELL processor, and on a low-cost CBEA (CELL Broadband Engine Architecture) cluster using multiple PlayStation3 consoles. Typical batch-processing environments are often unsuitable for interactive data-mining processes that require repeated adjustments to parameters, preprocessing steps, and data; while contemporary desktops do not offer sufficient resources for the large datasets available today. Our implementations for the k Nearest Neighbour algorithm and the Decision Tree scale linearly with the number of samples in the training data and the number of processors, and demonstrate runtimes of under a minute for up to 500 000 samples.

引用

页码：269 / +

页数：3

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