Using Machine-Learning to Efficiently Explore the Architecture/Compiler Co-Design Space - Couverture souple

Dubach, Dr. Christophe

Couverture souple

ISBN 10 : 1906124663 ISBN 13 : 9781906124663

Editeur : BCS, The Chartered Institute for IT, 2010

Synopsis

Designing new microprocessors is a time-consuming task. Architects rely on slow simulators to evaluate performance and a significant proportion of the design space has to be explored before an implementation is chosen. This becomes even more time-consuming when compiler optimisations are considered as part of the design process; once a new architecture is selected, a new compiler must be developed and tuned. This thesis proposes the use of machine-learning to address architecture/compiler co-design. The techniques developed in this work represent a new methodology that has 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.

A propos du livre

À propos de l?auteur

Christophe Dubach received his Ph.D in Informatics from the University of Edinburgh in 2009 and holds a M.Sc. degree in Computer Science from EPFL, Switzerland. He is currently an RAEng/EPSRC Research Fellow in the Institute for Computing Systems Architecture at the University of Edinburgh. His research interests include co-design of both computer architecture and optimising compiler technology, adaptive microprocessor and software and the application of machine-learning in these areas.

Détails de l'édition

• Éditeur: BCS, The Chartered Institute for IT
• Date d'édition: 2010
• Langue: anglais
• ISBN 10: 1906124663
• ISBN 13: 9781906124663
• Reliure: Broché
• Nombre de pages: 165
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible