Collective Mind: Towards Practical and Collaborative Auto-Tuning

Empirical auto-tuning and machine learning techniques have been showing high potential to improve execution time, power consumption, code size, reliability and other important metrics of various applications for more than two decades. However, they are still far from widespread production use due to...

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Bibliographic Details
Main Authors: Grigori Fursin, Renato Miceli, Anton Lokhmotov, Michael Gerndt, Marc Baboulin, Allen D. Malony, Zbigniew Chamski, Diego Novillo, Davide Del Vento
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Scientific Programming
Online Access:http://dx.doi.org/10.3233/SPR-140396