D. A. Beckingsale

According to our database, D. A. Beckingsale authored at least 23 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Machine Learning-Driven Adaptive OpenMP For Portable Performance on Heterogeneous Systems.

Giorgis Georgakoudis, Konstantinos Parasyris, Chunhua Liao, David Beckingsale, Todd Gamblin, Bronis R. de Supinski

CoRR, 2023

2021

Extending OpenMP for Machine Learning-Driven Adaptation.

Chunhua Liao, Anjia Wang, Giorgis Georgakoudis, Bronis R. de Supinski, Yonghong Yan, David Beckingsale, Todd Gamblin

Proceedings of the Accelerator Programming Using Directives - 8th International Workshop, 2021

Artemis: Automatic Runtime Tuning of Parallel Execution Parameters Using Machine Learning.

Chad Wood, Giorgis Georgakoudis, David Beckingsale, David Poliakoff, Alfredo Giménez, Kevin A. Huck, Allen D. Malony, Todd Gamblin

Proceedings of the High Performance Computing - 36th International Conference, 2021

2020

Umpire: Application-focused management and coordination of complex hierarchical memory.

D. A. Beckingsale, Marty McFadden, Johann Dahm, Ramesh Pankajakshan, Richard D. Hornung

IBM J. Res. Dev., 2020

CodeSeer: input-dependent code variants selection via machine learning.

Tao Wang, Nikhil Jain, David Böhme, David Beckingsale, Frank Mueller, Todd Gamblin

Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

2019

Preparation and optimization of a diverse workload for a large-scale heterogeneous system.

Ian Karlin, Yoonho Park, Bronis R. de Supinski, Peng Wang, Bert Still, David Beckingsale, Robert Blake, Tong Chen, Guojing Cong, Carlos H. A. Costa, Johann Dahm, Giacomo Domeniconi, Thomas Epperly, Aaron Fisher, Sara Kokkila Schumacher, Steven H. Langer, Hai Le, Eun Kyung Lee, Naoya Maruyama, Xinyu Que, David F. Richards, Björn Sjögreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, Xiaohua Zhang, Bob Anderson, David Appelhans, Levi Barnes, Peter D. Barnes Jr., Sorin Bastea, David Böhme, Jamie A. Bramwell, James M. Brase, José R. Brunheroto, Barry Chen, Charway R. Cooper, Tony Degroot, Robert D. Falgout, Todd Gamblin, David J. Gardner, James N. Glosli, John A. Gunnels, Max P. Katz, Tzanio V. Kolev, I-Feng W. Kuo, Matthew P. LeGendre, Ruipeng Li, Pei-Hung Lin, Shelby Lockhart, Kathleen McCandless, Claudia Misale, Jaime H. Moreno, Rob Neely, Jarom Nelson, Rao Nimmakayala, Kathryn M. O'Brien, Kevin O'Brien, Ramesh Pankajakshan, Roger Pearce, Slaven Peles, Phil Regier, Steven C. Rennich, Martin Schulz, Howard Scott, James C. Sexton, Kathleen Shoga, Shiv Sundram, Guillaume Thomas-Collignon, Brian Van Essen, Alexey Voronin, Bob Walkup, Lu Wang, Chris Ward, Hui-Fang Wen, Daniel A. White, Christopher Young, Cyril Zeller, Edward Zywicz

Proceedings of the International Conference for High Performance Computing, 2019

RAJA: Portable Performance for Large-Scale Scientific Applications.

David Beckingsale, Thomas R. W. Scogland, Jason Burmark, Rich Hornung, Holger Jones, William Killian, Adam J. Kunen, Olga Pearce, Peter Robinson, Brian S. Ryujin

Proceedings of the 2019 IEEE/ACM International Workshop on Performance, 2019

Performance portable C++ programming with RAJA.

David Beckingsale, Richard D. Hornung, Tom Scogland, Arturo Vargas

Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019

FuncyTuner: Auto-tuning Scientific Applications With Per-loop Compilation.

Tao Wang, Nikhil Jain, David Beckingsale, David Böhme, Frank Mueller, Todd Gamblin

Proceedings of the 48th International Conference on Parallel Processing, 2019

2018

Introduction.

Tom Scogland, David Beckingsale

Int. J. High Perform. Comput. Appl., 2018

2017

Apollo: Reusable Models for Fast, Dynamic Tuning of Input-Dependent Code.

David Beckingsale, Olga Pearce, Ignacio Laguna, Todd Gamblin

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

TeaLeaf: A Mini-Application to Enable Design-Space Explorations for Iterative Sparse Linear Solvers.

Simon McIntosh-Smith, Matthew Martineau, Tom Deakin, Grzegorz Pawelczak, Wayne P. Gaudin, Paul Garrett, Wei Liu, Richard P. Smedley-Stevenson, David Beckingsale

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

Flexible Data Aggregation for Performance Profiling.

David Böhme, David Beckingsale, Martin Schulz

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016

Caliper: performance introspection for HPC software stacks.

David Böhme, Todd Gamblin, David Beckingsale, Peer-Timo Bremer, Alfredo Giménez, Matthew P. LeGendre, Olga Pearce, Martin Schulz

Proceedings of the International Conference for High Performance Computing, 2016

Fast Multi-parameter Performance Modeling.

Alexandru Calotoiu, David Beckingsale, Christopher W. Earl, Torsten Hoefler, Ian Karlin, Martin Schulz, Felix Wolf

Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

2015

Towards scalable adaptive mesh refinement on future parallel architectures.

David Beckingsale

PhD thesis, 2015

Resident Block-Structured Adaptive Mesh Refinement on Thousands of Graphics Processing Units.

David Beckingsale, Wayne P. Gaudin, Andrew Herdman, Stephen A. Jarvis

Proceedings of the 44th International Conference on Parallel Processing, 2015

2014

Achieving portability and performance through OpenACC.

J. A. Herdman, W. P. Gaudin, Oliver Perks, D. A. Beckingsale, A. C. Mallinson, Stephen A. Jarvis

Proceedings of the First Workshop on Accelerator Programming using Directives, 2014

2013

Towards Automated Memory Model Generation Via Event Tracing.

O. F. J. Perks, D. A. Beckingsale, Simon D. Hammond, I. Miller, J. A. Herdman, A. Vadgama, Abhir H. Bhalerao, Ligang He, Stephen A. Jarvis

Comput. J., 2013

Analysing the influence of InfiniBand choice on OpenMPI memory consumption.

O. F. J. Perks, D. A. Beckingsale, A. S. Dawes, J. A. Herdman, Cyril Mazauric, Stephen A. Jarvis

Proceedings of the International Conference on High Performance Computing & Simulation, 2013

2012

Accelerating Hydrocodes with OpenACC, OpeCL and CUDA.

J. A. Herdman, W. P. Gaudin, Simon McIntosh-Smith, Michael Boulton, D. A. Beckingsale, A. C. Mallinson, Stephen A. Jarvis

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Performance Modelling of Magnetohydrodynamics Codes.

Robert F. Bird, Steven A. Wright, D. A. Beckingsale, Stephen A. Jarvis

Proceedings of the Computer Performance Engineering - 9th European Workshop, 2012

Optimisation of Patch Distribution Strategies for AMR Applications.

D. A. Beckingsale, O. F. J. Perks, W. P. Gaudin, J. A. Herdman, Stephen A. Jarvis

Proceedings of the Computer Performance Engineering - 9th European Workshop, 2012