Using Machine-Learning to Efficiently Explore the Architecture/Compiler Co-Design Space (Distinguished Dissertation) - Softcover

Dubach, Dr. Christophe

Softcover

ISBN 10: 1906124663 ISBN 13: 9781906124663

Publisher: 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 process becomes more time consuming when compiler optimisations are also considered. Once the architecture is selected, a new compiler must be developed and tuned. What is needed are techniques that can speedup this whole process and develop a new optimising compiler automatically. This thesis proposes the use of machine-learning techniques to address architecture/compiler co-design.

About this title

About the Author

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.

Edition details

• Publisher: BCS, The Chartered Institute for IT
• Publication date: 2010
• Language: English
• ISBN 10: 1906124663
• ISBN 13: 9781906124663
• Binding: Paperback
• Number of pages: 165