| 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 | 255 | 2017 |
| Cache replacement based on reuse-distance prediction G Keramidas, P Petoumenos, S Kaxiras 2007 25th International Conference on Computer Design, 245-250, 2007 | 192 | 2007 |
| Compiler fuzzing through deep learning C Cummins, P Petoumenos, A Murray, H Leather Proceedings of the 27th ACM SIGSOFT international symposium on software …, 2018 | 174 | 2018 |
| Synthesizing benchmarks for predictive modeling C Cummins, P Petoumenos, Z Wang, H Leather 2017 IEEE/ACM International Symposium on Code Generation and Optimization …, 2017 | 121 | 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 | 69 | 2017 |
| 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 | 45 | 2015 |
| Fast automatic heuristic construction using active learning WF Ogilvie, P Petoumenos, Z Wang, H Leather Languages and Compilers for Parallel Computing: 27th International Workshop …, 2015 | 44 | 2015 |
| Instruction-based reuse-distance prediction for effective cache management P Petoumenos, G Keramidas, S Kaxiras 2009 International Symposium on Systems, Architectures, Modeling, and …, 2009 | 41 | 2009 |
| 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 | 39 | 2019 |
| Autotuning OpenCL workgroup size for stencil patterns C Cummins, P Petoumenos, M Steuwer, H Leather arXiv preprint arXiv:1511.02490, 2015 | 37 | 2015 |
| 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 | 37 | 2006 |
| Effective function merging in the ssa form RCO Rocha, P Petoumenos, Z Wang, M Cole, H Leather Proceedings of the 41st ACM SIGPLAN Conference on Programming Language …, 2020 | 33 | 2020 |
| Vectorization-aware loop unrolling with seed forwarding RCO Rocha, V Porpodas, P Petoumenos, LFW Góes, Z Wang, M Cole, ... Proceedings of the 29th International Conference on Compiler Construction, 1-13, 2020 | 27 | 2020 |
| HyFM: Function merging for free RCO Rocha, P Petoumenos, Z Wang, M Cole, K Hazelwood, H Leather Proceedings of the 22nd ACM SIGPLAN/SIGBED International Conference on …, 2021 | 22 | 2021 |
| 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 | 22 | 2020 |
| 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 | 20 | 2017 |
| MLP-aware instruction queue resizing: The key to power-efficient performance P Petoumenos, G Psychou, S Kaxiras, JM Cebrian Gonzalez, JL Aragon Architecture of Computing Systems-ARCS 2010: 23rd International Conference …, 2010 | 20 | 2010 |
| 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 | 19 | 2014 |
| Efficient microarchitecture policies for accurately adapting to power constraints JM Cebrián, JL Aragón, JM García, P Petoumenos, S Kaxiras 2009 IEEE International Symposium on Parallel & Distributed Processing, 1-12, 2009 | 19 | 2009 |
| Deep learning for compilers CE Cummins The University of Edinburgh, 2020 | 16 | 2020 |
Zheng WangProfessor of Intelligent Software Technology, University of LeedsVerified email at leeds.ac.uk
