| 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 | 537 | 2006 |
| Rapidly selecting good compiler optimizations using performance counters J Cavazos, G Fursin, F Agakov, E Bonilla, MFP O'Boyle, O Temam International Symposium on Code Generation and Optimization (CGO'07), 185-197, 2007 | 358 | 2007 |
| 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 | 342 | 2011 |
| Predictive runtime code scheduling for heterogeneous architectures VJ Jiménez, L Vilanova, I Gelado, M Gil, G Fursin, N Navarro International Conference on High-Performance Embedded Architectures and …, 2009 | 178 | 2009 |
| 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 | 173 | 2008 |
| Evaluating iterative compilation G Fursin, MFP O’Boyle, PMW Knijnenburg Languages and Compilers for Parallel Computing, 362-376, 2005 | 143 | 2005 |
| Fast compiler optimisation evaluation using code-feature based performance prediction C Dubach, J Cavazos, B Franke, G Fursin, MFP O'Boyle, O Temam Proceedings of the 4th international conference on Computing frontiers, 131-142, 2007 | 133 | 2007 |
| Evaluating iterative optimization across 1000 datasets Y Chen, Y Huang, L Eeckhout, G Fursin, L Peng, O Temam, C Wu Proceedings of the 31st ACM SIGPLAN Conference on Programming Language …, 2010 | 103 | 2010 |
| A practical method for quickly evaluating program optimizations G Fursin, A Cohen, M O’Boyle, O Temam High Performance Embedded Architectures and Compilers: First International …, 2005 | 103 | 2005 |
| Automatic performance model construction for the fast software exploration of new hardware designs J Cavazos, C Dubach, F Agakov, E Bonilla, MFP O'Boyle, G Fursin, ... Proceedings of the 2006 international conference on Compilers, architecture …, 2006 | 102 | 2006 |
| Federated benchmarking of medical artificial intelligence with MedPerf A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, A Wuest, ... Nature machine intelligence 5 (7), 799-810, 2023 | 99 | 2023 |
| 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 | 89 | 2005 |
| Collective optimization: A practical collaborative approach G Fursin, O Temam ACM Transactions on Architecture and Code Optimization (TACO) 7 (4), 1-29, 2010 | 85 | 2010 |
| Midatasets: Creating the conditions for a more realistic evaluation of iterative optimization G Fursin, J Cavazos, M O’Boyle, O Temam International conference on high-performance embedded architectures and …, 2007 | 78 | 2007 |
| Portable compiler optimisation across embedded programs and microarchitectures using machine learning C Dubach, TM Jones, EV Bonilla, G Fursin, MFP O'Boyle Proceedings of the 42nd Annual IEEE/ACM International Symposium on …, 2009 | 77 | 2009 |
| Deconstructing iterative optimization Y Chen, S Fang, Y Huang, L Eeckhout, G Fursin, O Temam, C Wu ACM Transactions on Architecture and Code Optimization (TACO) 9 (3), 1-30, 2012 | 67 | 2012 |
| A community roadmap for scientific workflows research and development RF Da Silva, H Casanova, K Chard, I Altintas, RM Badia, B Balis, ... 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 81-90, 2021 | 58 | 2021 |
| Practical aggregation of semantical program properties for machine learning based optimization M Namolaru, A Cohen, G Fursin, A Zaks, A Freund Proceedings of the 2010 international conference on Compilers, architectures …, 2010 | 57 | 2010 |
| Mlsys: The new frontier of machine learning systems A Ratner, D Alistarh, G Alonso, DG Andersen, P Bailis, S Bird, N Carlini, ... arXiv preprint arXiv:1904.03257, 2019 | 50 | 2019 |
| Collective Mind: Towards Practical and Collaborative Auto‐Tuning G Fursin, R Miceli, A Lokhmotov, M Gerndt, M Baboulin, AD Malony, ... Scientific Programming 22 (4), 309-329, 2014 | 46 | 2014 |
Michael O'BoyleProfessor of Computer Science, University of EdinburghEmail được xác minh tại inf.ed.ac.uk