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David Beckingsale
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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
2882019
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
1592016
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
1212012
CloverLeaf: Preparing hydrodynamics codes for Exascale
AC Mallinson, DA Beckingsale, WP Gaudin, JA Herdman, JM Levesque, ...
Cray User Group (CUG), 2013
852013
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
812016
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
532019
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
452019
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
422014
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
402017
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
302017
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
242015
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
212021
Towards Portable Performance for Explicit Hydrodynamics Codes
AC Mallinson, DA Beckingsale, WP Gaudin, JA Herdman, SA Jarvis
1st International Workshop on OpenCL (IWOCL), 2013
212013
A Performance Evaluation of Kokkos & RAJA using the TeaLeaf Mini-App
M Martineau, S McIntosh-Smith, M Boulton, W Gaudin, DA Beckingsale
152015
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
112014
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
102012
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
72019
Flexible data aggregation for performance profiling
D Böehme, D Beckingsale, M Schulz
2017 IEEE International Conference on Cluster Computing (CLUSTER), 419-428, 2017
72017
Performance modelling of magnetohydrodynamics codes
RF Bird, SA Wright, DA Beckingsale, SA Jarvis
Computer Performance Engineering 7587, 197-209, 2013
72013
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
62013
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