RAJA: Portable performance for large-scale scientific applications DA Beckingsale, J Burmark, R Hornung, H Jones, W Killian, AJ Kunen, ... 2019 ieee/acm international workshop on performance, portability and …, 2019 | 271 | 2019 |
Caliper: performance introspection for HPC software stacks D Boehme, T Gamblin, D Beckingsale, PT Bremer, A Gimenez, ... SC'16: Proceedings of the International Conference for High Performance …, 2016 | 153 | 2016 |
Accelerating hydrocodes with OpenACC, OpeCL and CUDA JA Herdman, WP Gaudin, S McIntosh-Smith, M Boulton, DA Beckingsale, ... 3rd International Workshop on Performance Modeling, Benchmarking and …, 2012 | 121 | 2012 |
CloverLeaf: Preparing hydrodynamics codes for Exascale AC Mallinson, DA Beckingsale, WP Gaudin, JA Herdman, JM Levesque, ... Cray User Group (CUG), 2013 | 85 | 2013 |
Fast multi-parameter performance modeling A Calotoiu, D Beckinsale, CW Earl, T Hoefler, I Karlin, M Schulz, F Wolf 2016 IEEE International Conference on Cluster Computing (CLUSTER), 172-181, 2016 | 79 | 2016 |
Umpire: Application-focused management and coordination of complex hierarchical memory DA Beckingsale, MJ Mcfadden, JPS Dahm, R Pankajakshan, ... IBM Journal of Research and Development 64 (3/4), 00: 1-00: 10, 2019 | 50 | 2019 |
Performance portable C++ programming with RAJA D Beckingsale, R Hornung, T Scogland, A Vargas Proceedings of the 24th Symposium on Principles and Practice of Parallel …, 2019 | 44 | 2019 |
Apollo: Reusable models for fast, dynamic tuning of input-dependent code D Beckingsale, O Pearce, I Laguna, T Gamblin 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017 | 40 | 2017 |
Achieving portability and performance through OpenACC JA Herdman, WP Gaudin, O Perks, DA Beckingsale, AC Mallinson, ... 1st Workshop on Accelerator Programming using Directives, 19-26, 2014 | 40 | 2014 |
TeaLeaf: A mini-application to enable design-space explorations for iterative sparse linear solvers S McIntosh-Smith, M Martineau, T Deakin, G Pawelczak, W Gaudin, ... 2017 IEEE International Conference on Cluster Computing (CLUSTER), 842-849, 2017 | 29 | 2017 |
Resident Block-Structured Adaptive Mesh Refinement on Thousands of Graphics Processing Units DA Beckingsale, W Gaudin, A Herdman, S Jarvis 44th International Conference on Parallel Processing (ICPP), 61-70, 2015 | 24 | 2015 |
Towards Portable Performance for Explicit Hydrodynamics Codes AC Mallinson, DA Beckingsale, WP Gaudin, JA Herdman, SA Jarvis 1st International Workshop on OpenCL (IWOCL), 2013 | 21 | 2013 |
Artemis: automatic runtime tuning of parallel execution parameters using machine learning C Wood, G Georgakoudis, D Beckingsale, D Poliakoff, A Gimenez, K Huck, ... High Performance Computing: 36th International Conference, ISC High …, 2021 | 19 | 2021 |
A Performance Evaluation of Kokkos & RAJA using the TeaLeaf Mini-App M Martineau, S McIntosh-Smith, M Boulton, W Gaudin, DA Beckingsale | 15 | 2015 |
Optimising Hydrodynamics applications for the Cray XC30 with the application tool suite W Gaudin, A Mallinson, O Perks, J Herdman, DA Beckingsale, ... Cray User Group (CUG), 4-8, 2014 | 11 | 2014 |
Accelerating hydrocodes with OpenACC, OpenCL and CUDA. In 2012 SC Companion: High Performance Computing, Networking Storage and Analysis JA Herdman, WP Gaudin, S McIntosh-Smith, M Boulton, DA Beckingsale, ... IEEE, 2012 | 10 | 2012 |
Funcytuner: Auto-tuning scientific applications with per-loop compilation T Wang, N Jain, D Beckingsale, D Boehme, F Mueller, T Gamblin Proceedings of the 48th International Conference on Parallel Processing, 1-10, 2019 | 7 | 2019 |
Flexible data aggregation for performance profiling D Böehme, D Beckingsale, M Schulz 2017 IEEE International Conference on Cluster Computing (CLUSTER), 419-428, 2017 | 7 | 2017 |
Performance modelling of magnetohydrodynamics codes RF Bird, SA Wright, DA Beckingsale, SA Jarvis Computer Performance Engineering 7587, 197-209, 2013 | 7 | 2013 |
Towards Automated Memory Model Generation via Event Tracing OFJ Perks, DA Beckingsale, SD Hammond, I Miller, JA Herdman, ... The Computer Journal 56 (2), 156-174, 2013 | 6 | 2013 |