John Thomson
John Thomson
Head of Capabilities, appliedAI
Verified email at - Homepage
Cited by
Cited by
Using machine learning to focus iterative optimization
F Agakov, E Bonilla, J Cavazos, B Franke, G Fursin, MFP O'Boyle, ...
International Symposium on Code Generation and Optimization (CGO'06), 11 pp.-305, 2006
Milepost gcc: Machine learning enabled self-tuning compiler
G Fursin, Y Kashnikov, AW Memon, Z Chamski, O Temam, M Namolaru, ...
International journal of parallel programming 39, 296-327, 2011
MILEPOST GCC: machine learning based research compiler
G Fursin, C Miranda, O Temam, M Namolaru, E Yom-Tov, A Zaks, ...
Proceedings of the GCC Developers' Summit, 2008
Probabilistic source-level optimisation of embedded programs
B Franke, M O'Boyle, J Thomson, G Fursin
Proceedings of the 2005 ACM SIGPLAN/SIGBED Conference on Languages …, 2005
Superfluidity: a flexible functional architecture for 5G networks
G Bianchi, E Biton, N Blefari‐Melazzi, I Borges, L Chiaraviglio, ...
Transactions on Emerging Telecommunications Technologies 27 (9), 1178-1186, 2016
Euroserver: Energy efficient node for european micro-servers
Y Durand, PM Carpenter, S Adami, A Bilas, D Dutoit, A Farcy, ...
2014 17th Euromicro Conference on Digital System Design, 206-213, 2014
Automatic OpenCL device characterization: Guiding optimized kernel design
P Thoman, K Kofler, H Studt, J Thomson, T Fahringer
Euro-Par 2011 Parallel Processing: 17th International Conference, Euro-Par …, 2011
Reducing training time in a one-shot machine learning-based compiler
J Thomson, M O’Boyle, G Fursin, B Franke
International workshop on languages and compilers for parallel computing …, 2009
EUROSERVER: Share-anything scale-out micro-server design
M Marazakis, J Goodacre, D Fuin, P Carpenter, J Thomson, E Matus, ...
2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), 678-683, 2016
Collaborative heterogeneity-aware os scheduler for asymmetric multicore processors
T Yu, R Zhong, V Janjic, P Petoumenos, J Zhai, H Leather, J Thomson
IEEE Transactions on Parallel and Distributed Systems 32 (5), 1224-1237, 2020
Large-scale hierarchical k-means for heterogeneous many-core supercomputers
L Li, T Yu, W Zhao, H Fu, C Wang, L Tan, G Yang, J Thomson
SC18: International Conference for High Performance Computing, Networking …, 2018
Colab: a collaborative multi-factor scheduler for asymmetric multicore processors
T Yu, P Petoumenos, V Janjic, H Leather, J Thomson
Proceedings of the 18th ACM/IEEE International Symposium on Code Generation …, 2020
Workload characterization supporting the development of domain-specific compiler optimizations using decision trees for data mining
D Fenacci, B Franke, J Thomson
Proceedings of the 13th international workshop on software & compilers for …, 2010
Predictive search distributions
EV Bonilla, CKI Williams, FV Agakov, J Cavazos, J Thomson, ...
Proceedings of the 23rd International Conference on Machine learning, 121-128, 2006
Large-scale automatic k-means clustering for heterogeneous many-core supercomputer
T Yu, W Zhao, P Liu, V Janjic, X Yan, S Wang, H Fu, G Yang, J Thomson
IEEE Transactions on Parallel and Distributed Systems 31 (5), 997-1008, 2019
Predicting and optimizing image compression
O Murashko, J Thomson, H Leather
Proceedings of the 24th ACM international conference on Multimedia, 665-669, 2016
ACTiCLOUD: Enabling the Next Generation of Cloud Applications
G Goumas, K Nikas, EB Lakew, C Kotselidis, A Attwood, E Elmroth, ...
2017 IEEE 37th International Conference on Distributed Computing Systems …, 2017
Modelling VM latent characteristics and predicting application performance using semi-supervised non-negative matrix factorization
Y Lin, A Barker, J Thomson
2020 IEEE 13th International Conference on Cloud Computing (CLOUD), 470-474, 2020
Automated profiling of virtualized media processing functions using telemetry and machine learning
R Mekuria, MJ McGrath, V Riccobene, V Bayon-Molino, C Tselios, ...
Proceedings of the 9th ACM Multimedia Systems Conference, 150-161, 2018
Using machine learning to automate compiler optimisation
JD Thomson
The University of Edinburgh, 2009
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