David Beckingsale

20 papers A 5B 3C 4Journal 2Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Extending RAJA Parallel Programming Abstractions with Just-In-Time Optimization. SC Workshops John Bowen, Konstantinos Parasyris, David Beckingsale, Tal Ben-Nun, Thomas Stitt, Giorgis Georgakoudis
2025	A	`conf`	Proteus: Portable Runtime Optimization of GPU Kernel Execution with Just-in-Time Compilation. CGO Giorgis Georgakoudis, Konstantinos Parasyris, David Beckingsale
2025	—	`conf`	Umpire: Portable Memory Management for High-Performance Computing Applications. SC Workshops Kristi Belcher, David Beckingsale
2024	—	`conf`	An Exploration of Global Optimization Strategies for Autotuning OpenMP-based Codes. IPDPS (Workshops) Gregory Bolet, Giorgis Georgakoudis, Konstantinos Parasyris, Kirk W. Cameron, David Beckingsale, Todd Gamblin
2023	J	`jnl`	Machine Learning-Driven Adaptive OpenMP For Portable Performance on Heterogeneous Systems. CoRR Giorgis Georgakoudis, Konstantinos Parasyris, Chunhua Liao, David Beckingsale, Todd Gamblin, Bronis R. de Supinski
2021	C	`conf`	Artemis: Automatic Runtime Tuning of Parallel Execution Parameters Using Machine Learning. ISC Chad Wood, Giorgis Georgakoudis, David Beckingsale, David Poliakoff, Alfredo Giménez, Kevin A. Huck, Allen D. Malony, Todd Gamblin
2021	—	`conf`	Extending OpenMP for Machine Learning-Driven Adaptation. WACCPD@SC Chunhua Liao, Anjia Wang, Giorgis Georgakoudis, Bronis R. de Supinski, Yonghong Yan, David Beckingsale, Todd Gamblin
2020	A	`conf`	CodeSeer: input-dependent code variants selection via machine learning. ICS Tao Wang, Nikhil Jain, David Böhme, David Beckingsale, Frank Mueller, Todd Gamblin
2019	B	`conf`	FuncyTuner: Auto-tuning Scientific Applications With Per-loop Compilation. ICPP Tao Wang, Nikhil Jain, David Beckingsale, David Böhme, Frank Mueller, Todd Gamblin
2019	B	`conf`	Performance portable C++ programming with RAJA. PPoPP David Beckingsale, Richard D. Hornung, Tom Scogland, Arturo Vargas
2019	A	`conf`	Preparation and optimization of a diverse workload for a large-scale heterogeneous system. SC 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
2019	—	`conf`	RAJA: Portable Performance for Large-Scale Scientific Applications. P3HPC@SC David Beckingsale, Thomas R. W. Scogland, Jason Burmark, Rich Hornung, Holger Jones, William Killian, Adam J. Kunen, Olga Pearce, Peter Robinson, Brian S. Ryujin
2018	J	`jnl`	Introduction. Int. J. High Perform. Comput. Appl. Tom Scogland, David Beckingsale
2017	A	`conf`	Apollo: Reusable Models for Fast, Dynamic Tuning of Input-Dependent Code. IPDPS David Beckingsale, Olga Pearce, Ignacio Laguna, Todd Gamblin
2017	C	`conf`	Flexible Data Aggregation for Performance Profiling. CLUSTER David Böhme, David Beckingsale, Martin Schulz
2017	C	`conf`	TeaLeaf: A Mini-Application to Enable Design-Space Explorations for Iterative Sparse Linear Solvers. CLUSTER Simon McIntosh-Smith, Matthew Martineau, Tom Deakin, Grzegorz Pawelczak, Wayne P. Gaudin, Paul Garrett, Wei Liu, Richard P. Smedley-Stevenson, David Beckingsale
2016	A	`conf`	Caliper: performance introspection for HPC software stacks. SC David Böhme, Todd Gamblin, David Beckingsale, Peer-Timo Bremer, Alfredo Giménez, Matthew P. LeGendre, Olga Pearce, Martin Schulz
2016	C	`conf`	Fast Multi-parameter Performance Modeling. CLUSTER Alexandru Calotoiu, David Beckingsale, Christopher W. Earl, Torsten Hoefler, Ian Karlin, Martin Schulz, Felix Wolf
2015	B	`conf`	Resident Block-Structured Adaptive Mesh Refinement on Thousands of Graphics Processing Units. ICPP David Beckingsale, Wayne P. Gaudin, Andrew Herdman, Stephen A. Jarvis
2015	—	`—`	Towards scalable adaptive mesh refinement on future parallel architectures. David Beckingsale