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Novel and Highly Efficient Reconfigurable Implementation of Data Mining Classification Tree
The available e-data throughout the Web are growing at such a high rate that data mining on the web is considered the biggest challenge of information technology. As a result it is crucial to find new and innovative ways for classifying and mining those huge amounts of data. In this paper we present...
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| creator | Chrysos, G. Dagritzikos, P. Papaefstathiou, I. Dollas, A. |
| description | The available e-data throughout the Web are growing at such a high rate that data mining on the web is considered the biggest challenge of information technology. As a result it is crucial to find new and innovative ways for classifying and mining those huge amounts of data. In this paper we present an implementation of a state-of-the-art data mining algorithm on a modern FPGA. This is one of the first approaches utilizing the resources of an FPGA to accelerate certain very CPU intensive data-mining/data classification schemes and our real-world results from actual runs on hardware demonstrate that it is a highly promising one. In particular, our FPGA-based system achieves, depending on the data classified, a speedup from 4x and up to 50x (on average 25x) when compared with a state-of-the art multi-core CPU, including I/O overhead. |
| doi_str_mv | 10.1109/FPL.2011.82 |
| format | conference_proceeding |
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| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1946-147X |
| ispartof | 2011 21st International Conference on Field Programmable Logic and Applications, 2011, p.411-416 |
| issn | 1946-147X 1946-1488 |
| language | eng |
| recordid | cdi_ieee_primary_6044855 |
| source | IEEE Xplore All Conference Series |
| subjects | Classification algorithms Computer architecture Data mining Decision Tree Classification (DTC) Decision trees Field programmable gate arrays Reconfigurable architecture Software Software algorithms |
| title | Novel and Highly Efficient Reconfigurable Implementation of Data Mining Classification Tree |
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