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Using Machine-Learning to Efficiently Explore the Architecture/Compiler Co-Design Space (Distinguished Dissertations)
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Using Machine-Learning to Efficiently Explore the Architecture/Compiler Co-Design Space http://www.fishpond.co.nz/Books/Using-Machine-Learning-to-Efficiently-Explore-ArchitectureCompiler-Co-Design-Space-Dr-Christophe-Dubach/9781906124663

Distinguished Dissertations

By Dr. Christophe Dubach

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Format:Paperback, 166 pages
Published In: United Kingdom, 01 March 2010

Table of Contents

1 Introduction 2 Machine-Learning and Evaluation Methodology 3 Related Work 4 Exploring and Predicting the Microarchitectural Design Space 5 Exploring and Predicting the Co-Design Space 6 Towards a Portable Optimising Compiler 7 Conclusions

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.

Publisher: British Computer Society
ISBN:1906124663
EAN:9781906124663
Dimensions: 20.98 x 29.69 x 0.89 centimeters (0.41 kg)
Age Range: 15+ years
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