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
Link alla scheda completa:
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: