Hugh Leather
Hugh Leather
Verified email at inf.ed.ac.uk
TitleCited byYear
Automatic feature generation for machine learning based optimizing compilation
H Leather, E Bonilla, M O'Boyle
Proceedings of the 7th annual IEEE/ACM International Symposium on Code …, 2009
1282009
MILEPOST GCC: machine learning based research compiler
G Fursin, C Miranda, O Temam, M Namolaru, E Yom-Tov, A Zaks, ...
1252008
Emergency evacuation using wireless sensor networks
M Barnes, H Leather, DK Arvind
32nd IEEE Conference on Local Computer Networks (LCN 2007), 851-857, 2007
1072007
End-to-end deep learning of optimization heuristics
C Cummins, P Petoumenos, Z Wang, H Leather
2017 26th International Conference on Parallel Architectures and Compilation …, 2017
552017
Minimizing the cost of iterative compilation with active learning
WF Ogilvie, P Petoumenos, Z Wang, H Leather
Proceedings of the 2017 International Symposium on Code Generation and …, 2017
322017
Synthesizing benchmarks for predictive modeling
C Cummins, P Petoumenos, Z Wang, H Leather
2017 IEEE/ACM International Symposium on Code Generation and Optimization …, 2017
302017
Raced profiles: efficient selection of competing compiler optimizations
H Leather, M O'Boyle, B Worton
ACM Sigplan Notices 44 (7), 50-59, 2009
292009
Fast automatic heuristic construction using active learning
WF Ogilvie, P Petoumenos, Z Wang, H Leather
International Workshop on Languages and Compilers for Parallel Computing …, 2014
282014
Compiler fuzzing through deep learning
C Cummins, P Petoumenos, A Murray, H Leather
Proceedings of the 27th ACM SIGSOFT International Symposium on Software …, 2018
202018
Automatic feature generation for machine learning--based optimising compilation
H Leather, E Bonilla, M O'boyle
ACM Transactions on Architecture and Code Optimization (TACO) 11 (1), 14, 2014
202014
Power capping: What works, what does not
P Petoumenos, L Mukhanov, Z Wang, H Leather, DS Nikolopoulos
2015 IEEE 21st International Conference on Parallel and Distributed Systems …, 2015
192015
Autotuning OpenCL workgroup size for stencil patterns
C Cummins, P Petoumenos, M Steuwer, H Leather
arXiv preprint arXiv:1511.02490, 2015
192015
MaSiF: Machine learning guided auto-tuning of parallel skeletons
A Collins, C Fensch, H Leather, M Cole
20th Annual International Conference on High Performance Computing, 186-195, 2013
162013
On the inference of user paths from anonymized mobility data
G Tsoukaneri, G Theodorakopoulos, H Leather, MK Marina
2016 IEEE European Symposium on Security and Privacy (EuroS&P), 199-213, 2016
132016
Auto-tuning parallel skeletons
A Collins, C Fensch, H Leather
Parallel Processing Letters 22 (02), 1240005, 2012
122012
Application of domain-aware binary fuzzing to aid Android virtual machine testing
S Kyle, H Leather, B Franke, D Butcher, S Monteith
ACM SIGPLAN Notices 50 (7), 121-132, 2015
92015
Measuring qoe of interactive workloads and characterising frequency governors on mobile devices
V Seeker, P Petoumenos, H Leather, B Franke
2014 IEEE International Symposium on Workload Characterization (IISWC), 61-70, 2014
92014
Efficiently parallelizing instruction set simulation of embedded multi-core processors using region-based just-in-time dynamic binary translation
S Kyle, I Böhm, B Franke, H Leather, N Topham
ACM SIGPLAN Notices 47 (5), 21-30, 2012
92012
ALEA: a fine-grained energy profiling tool
L Mukhanov, P Petoumenos, Z Wang, N Parasyris, DS Nikolopoulos, ...
ACM Transactions on Architecture and Code Optimization (TACO) 14 (1), 1, 2017
72017
Active learning accelerated automatic heuristic construction for parallel program mapping
WF Ogilvie, P Petoumenos, Z Wang, H Leather
2014 23rd International Conference on Parallel Architecture and Compilation …, 2014
52014
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