| 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 | 516 | 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 | 341 | 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 | 314 | 2011 |
| Towards a holistic approach to auto-parallelization: integrating profile-driven parallelism detection and machine-learning based mapping G Tournavitis, Z Wang, B Franke, MFP O'Boyle ACM Sigplan notices 44 (6), 177-187, 2009 | 313 | 2009 |
| A static task partitioning approach for heterogeneous systems using OpenCL D Grewe, MFP O’Boyle Compiler Construction: 20th International Conference, CC 2011, Held as Part …, 2011 | 308 | 2011 |
| Mapping parallelism to multi-cores: a machine learning based approach Z Wang, MFP O'Boyle Proceedings of the 14th ACM SIGPLAN symposium on Principles and practice of …, 2009 | 275 | 2009 |
| Combined selection of tile sizes and unroll factors using iterative compilation T Kisuki, PMW Knijnenburg, MFP O'Boyle Proceedings 2000 International Conference on Parallel Architectures and …, 2000 | 264 | 2000 |
| Machine learning in compiler optimization Z Wang, M O’Boyle Proceedings of the IEEE 106 (11), 1879-1901, 2018 | 219 | 2018 |
| 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), 1-32, 2014 | 211 | 2014 |
| Iterative compilation in a non-linear optimisation space F Bodin, T Kisuki, P Knijnenburg, M O'Boyle, E Rohou Workshop on profile and feedback-directed compilation, 1998 | 203 | 1998 |
| Portable mapping of data parallel programs to opencl for heterogeneous systems D Grewe, Z Wang, MFP O'Boyle Proceedings of the 2013 IEEE/ACM International Symposium on Code Generation …, 2013 | 191 | 2013 |
| Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM L Nardi, B Bodin, MZ Zia, J Mawer, A Nisbet, PHJ Kelly, AJ Davison, ... 2015 IEEE international conference on robotics and automation (ICRA), 5783-5790, 2015 | 185 | 2015 |
| Smart multi-task scheduling for OpenCL programs on CPU/GPU heterogeneous platforms Y Wen, Z Wang, MFP O'boyle 2014 21st International conference on high performance computing (HiPC), 1-10, 2014 | 171 | 2014 |
| MILEPOST GCC: machine learning based research compiler G Fursin, C Miranda, O Temam, M Namolaru, A Zaks, B Mendelson, ... GCC summit, 2008 | 164 | 2008 |
| Method-specific dynamic compilation using logistic regression J Cavazos, MFP O'boyle ACM SIGPLAN Notices 41 (10), 229-240, 2006 | 138 | 2006 |
| Evaluating iterative compilation GG Fursin, MFP O’Boyle, PMW Knijnenburg Languages and Compilers for Parallel Computing: 15th Workshop, LCPC 2002 …, 2005 | 135 | 2005 |
| Non-singular data transformations: definition, validity and applications MFP O'boyle, PMW Knijnenburg Proceedings of the 11th international conference on Supercomputing, 309-316, 1997 | 133 | 1997 |
| Bayesian meta-learning for the few-shot setting via deep kernels M Patacchiola, J Turner, EJ Crowley, M O'Boyle, AJ Storkey Advances in Neural Information Processing Systems 33, 16108-16118, 2020 | 127* | 2020 |
| 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 | 127 | 2007 |
| Partitioning streaming parallelism for multi-cores: a machine learning based approach Z Wang, MFP O'Boyle Proceedings of the 19th international conference on Parallel architectures …, 2010 | 126 | 2010 |
