Using machine-learning to efficiently explore the architecture/compiler co-design space
Auteur :
Dubach, Dr. Christophe
Éditeur :
Dubach, Dr. Christophe
ISBN :
9781906124663
Date de publication :
1 mars 2010
Dimensions :
29,7 x 21,0 x 0,5 cm
Poids :
415 g
Format :
Trade paperback (US)
Langue :
Anglais
Pays d'origine :
Grande Bretagne
This thesis proposes the use of machine-learning to address architecture/compiler co-design. The techniques developed in represent a new methodology with the potential to speed up the design of new processors and automate the generation of the corresponding optimising compilers, resulting in higher system efficiency and shorter time-to-market.