| 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 | 475 | 2006 |
| 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 | 294 | 2009 |
| 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 | 294 | 2007 |
| A static task partitioning approach for heterogeneous systems using OpenCL D Grewe, MFP O’Boyle International conference on compiler construction, 286-305, 2011 | 275 | 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 | 248 | 2009 |
| 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 (3), 296-327, 2011 | 246 | 2011 |
| 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 | 238 | 2000 |
| 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 | 182 | 1998 |
| Automatic feature generation for machine learning based optimizing compilation H Leather, E Bonilla, M O'Boyle 2009 International Symposium on Code Generation and Optimization, 81-91, 2009 | 160 | 2009 |
| 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 | 153 | 2013 |
| MILEPOST GCC: machine learning based research compiler G Fursin, C Miranda, O Temam, M Namolaru, E Yom-Tov, A Zaks, ... GCC summit, 2008 | 143 | 2008 |
| 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 | 139 | 2015 |
| Method-specific dynamic compilation using logistic regression J Cavazos, MFP O'boyle ACM SIGPLAN Notices 41 (10), 229-240, 2006 | 130 | 2006 |
| 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 | 129 | 2014 |
| Evaluating iterative compilation GG Fursin, MFP O’Boyle, PMW Knijnenburg International Workshop on Languages and Compilers for Parallel Computing …, 2002 | 128 | 2002 |
| Nonsingular data transformations: Definition, validity, and applications MFP O'boyle, PMW Knijnenburg International Journal of Parallel Programming 27 (3), 131-159, 1999 | 128 | 1999 |
| 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 | 116 | 2010 |
| IATAC: a smart predictor to turn-off L2 cache lines J Abella, A González, X Vera, MFP O'Boyle ACM Transactions on Architecture and Code Optimization (TACO) 2 (1), 55-77, 2005 | 113 | 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 | 112 | 2007 |
| Machine learning in compiler optimization Z Wang, M O’Boyle Proceedings of the IEEE 106 (11), 1879-1901, 2018 | 106 | 2018 |
