Using Machine Learning to Focus Iterative Optimization
2006 · 423 citations
https://doi.org/10.1109/cgo.2006.37
M
Michael O’Boyle
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270
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44
h-index
102
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Michael O’Boyle is an academic researcher from University of Edinburgh. The author has contributed to research in topics: Parallel Computing and Optimization Techniques & Embedded Systems Design Techniques & Distributed and Parallel Computing Systems. The author has an h-index of 44, co-authored 230 publications.
ORCID: 0000-0003-1619-5052Papers by this author
worksMicroarchitectural Design Space Exploration Using an Architecture-Centric Approach
2007 · 407 citations
https://doi.org/10.1109/micro.2007.12
Rapidly Selecting Good Compiler Optimizations using Performance Counters
2007 · 232 citations
https://doi.org/10.1109/cgo.2007.32
Milepost GCC: Machine Learning Enabled Self-tuning Compiler
2011 · International Journal of Parallel Programming · 224 citations
https://doi.org/10.1007/s10766-010-0161-2
Machine Learning in Compiler Optimization
2018 · Proceedings of the IEEE · 186 citations
https://doi.org/10.1109/jproc.2018.2817118
Portable compiler optimisation across embedded programs and microarchitectures using machine learning
2009 · 114 citations
https://doi.org/10.1145/1669112.1669124
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