Predictive modeling in a polyhedral optimization space EJ Park, J Cavazos, LN Pouchet, C Bastoul, A Cohen, P Sadayappan International Journal of Parallel Programming 41 (5), 704-750, 2013 | 135 | 2013 |
Using graph-based program characterization for predictive modeling EJ Park, J Cavazos, MA Alvarez Proceedings of the Tenth International Symposium on Code Generation and …, 2012 | 115 | 2012 |
COBAYN: Compiler Autotuning Framework Using Bayesian Networks AH Ashouri, G Mariani, G Palermo, EJ Park, J Cavazos, C Silvano ACM Transactions on Architecture and Code Optimization (TACO) 13 (2), 2016 | 107 | 2016 |
An evaluation of different modeling techniques for iterative compilation EJ Park, S KuIkarni, J Cavazos Proceedings of the 14th international conference on Compilers, architectures …, 2011 | 82 | 2011 |
Parameterized benchmarking of parallel discrete event simulation systems: communication, computation, and memory EJ Park, S Eidenbenz, N Santhi, G Chapuis, B Settlemyer Winter Simulation Conference, 2015 | 20 | 2015 |
HERCULES: Strong Patterns Towards More Intelligent Predictive Modeling EJ Park, C Kartsaklis, J Cavazos Parallel Processing (ICPP), 2014 43rd International Conference on, 172-181, 2014 | 16 | 2014 |
Towards compile-time-reducing compiler optimization selection via machine learning T Jayatilaka, H Ueno, G Georgakoudis, EJ Park, J Doerfert 50th International Conference on Parallel Processing Workshop, 1-6, 2021 | 11 | 2021 |
Simian integrated framework for parallel discrete event simulation on GPUs G Chapuis, S Eidenbenz, N Santhi, EJ Park Winter Simulation Conference, 2015 | 11 | 2015 |
Performance Prediction Toolkit (PPT). Los Alamos National Laboratory (LANL) G Chennupati, N Santhi, S Eidenbenz, RJ Zerr, M Rosa, RJ Zamora, ... | 8 | 2017 |
Performance Improvement in Kernels by Guiding Compiler Auto-Vectorization Heuristics W Killian, R Miceli, EJ Park, MA Vega, J Cavazos | 7 | 2014 |
Trace-Driven Memory Access Pattern Recognition in Computational Kernels EJ Park, C Kartsaklis, T Janjusic, J Cavazos Proceedings of the Second Workshop on Optimizing Stencil Computations, 25-32, 2014 | 6 | 2014 |
Dynamic optimization option search in GCC H Wu, EJ Park, M Kaplarevic, Y Zhang, X Li, G Gao GCC Developers’ Summit, 165-174, 2007 | 6 | 2007 |
Automatic program segment similarity detection in targeted program performance improvement H Wu, EJ Park, M Kaplarevic, Y Zhang, M Bolat, X Li, GR Gao Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE …, 2007 | 5 | 2007 |
User-Friendly Methodology for Automatic Exploration of Compiler Options: A Case Study on the Intel XScale Microarchitecture H Wu, EJ Park, L Chen, JD Cuvillo, GR Gao Software Engineering Research and Practice, 866-872, 2006 | 5* | 2006 |
Performance prediction toolkit G Chennupati, C Hannon, N Santhi, S Eidenbenz, R Zerr, M Rosa, ... Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2017 | 3 | 2017 |
Simulation-based and analytical models for energy use prediction SJ Eidenbenz, HN Djidjev, BT Nadiga, EJ Park Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2016 | 2 | 2016 |
Automatic Selection of Compiler Optimizations using Program Characterization and Machine Learning EJ Park University of Delaware, 2015 | 2 | 2015 |
HSLOT: the HERCULES scriptable loop transformations engine C Kartsaklis, EJ Park, J Cavazos Proceedings of the Fourth International Workshop on Domain-Specific …, 2014 | 2 | 2014 |
An automatic methodology for program segment-based compiler optimization search HP Wu, EJ Park, M Bolat, M Kaplarevic, YP Zhang, XM Li, GR Gao Technical Memo071, 2006 | 2 | 2006 |
Trace-Driven Memory Access Pattern Recognition in Computational Kernels. In: WOSC'14 Proceedings of the Second Workshop on Optimizing Stencil Computations E Park, C Kartsaklis, T Janjusic, J Cavazos Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States). Oak Ridge …, 2014 | | 2014 |