| Cache replacement based on reuse-distance prediction G Keramidas, P Petoumenos, S Kaxiras 2007 25th International Conference on Computer Design, 245-250, 2007 | 157 | 2007 |
| End-to-end deep learning of optimization heuristics C Cummins, P Petoumenos, Z Wang, H Leather 2017 26th International Conference on Parallel Architectures and Compilation …, 2017 | 83 | 2017 |
| Synthesizing benchmarks for predictive modeling C Cummins, P Petoumenos, Z Wang, H Leather 2017 IEEE/ACM International Symposium on Code Generation and Optimization …, 2017 | 48 | 2017 |
| Minimizing the cost of iterative compilation with active learning WF Ogilvie, P Petoumenos, Z Wang, H Leather 2017 IEEE/ACM International Symposium on Code Generation and Optimization …, 2017 | 42 | 2017 |
| Compiler fuzzing through deep learning C Cummins, P Petoumenos, A Murray, H Leather Proceedings of the 27th ACM SIGSOFT International Symposium on Software …, 2018 | 40 | 2018 |
| Instruction-based reuse-distance prediction for effective cache management P Petoumenos, G Keramidas, S Kaxiras 2009 International Symposium on Systems, Architectures, Modeling, and …, 2009 | 39 | 2009 |
| Modeling cache sharing on chip multiprocessor architectures P Petoumenos, G Keramidas, H Zeffer, S Kaxiras, E Hagersten 2006 IEEE International Symposium on Workload Characterization, 160-171, 2006 | 38 | 2006 |
| Fast automatic heuristic construction using active learning WF Ogilvie, P Petoumenos, Z Wang, H Leather International Workshop on Languages and Compilers for Parallel Computing …, 2014 | 34 | 2014 |
| Autotuning OpenCL workgroup size for stencil patterns C Cummins, P Petoumenos, M Steuwer, H Leather arXiv preprint arXiv:1511.02490, 2015 | 22 | 2015 |
| Power capping: What works, what does not P Petoumenos, L Mukhanov, Z Wang, H Leather, DS Nikolopoulos 2015 IEEE 21st International Conference on Parallel and Distributed Systems …, 2015 | 21 | 2015 |
| MLP-aware instruction queue resizing: The key to power-efficient performance P Petoumenos, G Psychou, S Kaxiras, JMC Gonzalez, JL Aragon International Conference on Architecture of Computing systems, 113-125, 2010 | 18 | 2010 |
| Efficient microarchitecture policies for accurately adapting to power constraints JM Cebrian, JL Aragón, JM Garcia, P Petoumenos, S Kaxiras 2009 IEEE International Symposium on Parallel & Distributed Processing, 1-12, 2009 | 17 | 2009 |
| Statshare: A statistical model for managing cache sharing via decay P Petoumenos, G Keramidas, H Zeffer, S Kaxiras, E Hagersten Second Annual Workshop on Modeling, Benchmarking and Simulation (MoBS 2006), 2006 | 16 | 2006 |
| Measuring qoe of interactive workloads and characterising frequency governors on mobile devices V Seeker, P Petoumenos, H Leather, B Franke 2014 IEEE International Symposium on Workload Characterization (IISWC), 61-70, 2014 | 13 | 2014 |
| Where replacement algorithms fail: a thorough analysis G Keramidas, P Petoumenos, S Kaxiras Proceedings of the 7th ACM international conference on Computing frontiers …, 2010 | 12 | 2010 |
| ALEA: A fine-grained energy profiling tool L Mukhanov, P Petoumenos, Z Wang, N Parasyris, DS Nikolopoulos, ... ACM Transactions on Architecture and Code Optimization (TACO) 14 (1), 1-25, 2017 | 8 | 2017 |
| Active learning accelerated automatic heuristic construction for parallel program mapping WF Ogilvie, P Petoumenos, Z Wang, H Leather Proceedings of the 23rd international conference on Parallel architectures …, 2014 | 7 | 2014 |
| Function merging by sequence alignment RCO Rocha, P Petoumenos, Z Wang, M Cole, H Leather 2019 IEEE/ACM International Symposium on Code Generation and Optimization …, 2019 | 6 | 2019 |
| Deep learning for compilers CE Cummins The University of Edinburgh, 2020 | 4 | 2020 |
| Towards Collaborative Performance Tuning of Algorithmic Skeletons C Cummins, P Petoumenos, M Steuwer, H Leather HLPGPU, 2016 | 4 | 2016 |
Zheng WangUniversity of LeedsVerified email at leeds.ac.uk
