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Porting decision tree algorithms to multicore using fastflow

Contributo in Atti di convegno
Data di Pubblicazione:
2010
Abstract:
The whole computer hardware industry embraced multicores. For these machines, the extreme optimisation of sequential algorithms is no longer sufficient to squeeze the real machine power, which can be only exploited via thread-level parallelism. Decision tree algorithms exhibit natural concurrency that makes them suitable to be parallelised. This paper presents an approach for easy-yet-efficient porting of an implementation of the C4.5 algorithm on multicores. The parallel porting requires minimal changes to the original sequential code, and it is able to exploit up to 7X speedup on an Intel dual-quad core machine.
Tipologia CRIS:
04A-Conference paper in volume
Keywords:
parallel classification; C4.5; multicores; structured parallel programming; streaming
Elenco autori:
Marco Aldinucci; Salvatore Ruggieri; Massimo Torquati
Autori di Ateneo:
ALDINUCCI Marco
Link alla scheda completa:
https://iris.unito.it/handle/2318/83743
Titolo del libro:
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2010
Pubblicato in:
LECTURE NOTES IN COMPUTER SCIENCE
Journal
LECTURE NOTES IN COMPUTER SCIENCE
Series
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URL

http://www.springerlink.com/content/x20020l947041770/
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