Awards

• Winner of Distinguished Dissertations Award 2009 (UK)
• Winner of Distinguished Dissertations in Computer Science 2009
• Winner of Distinguished Dissertations in Computer Science 2009.

Overview

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.

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9781906124663

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Author Information

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.

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