| 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 | 525 | 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 | 325 | 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 | 172 | 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 | 88 | 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 | 75 | 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 | 73 | 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 | 50 | 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 | 32 | 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 | 26 | 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 | 19 | 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 | 15 | 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 | 14 | 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 | 14 | 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 | 12 | 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 | 11 | 2019 |
| Predicting and optimizing image compression O Murashko, J Thomson, H Leather Proceedings of the 24th ACM international conference on Multimedia, 665-669, 2016 | 8 | 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 | 7 | 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 | 5 | 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 | 5 | 2018 |
| Using machine learning to automate compiler optimisation JD Thomson The University of Edinburgh, 2009 | 5 | 2009 |
