Tom Scogland
Cited by
Cited by
RAJA: Portable Performance for Large-Scale Scientific Applications
DA Beckingsale, J Burmark, R Hornung, H Jones, W Killian, AJ Kunen, ...
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2019
Scalable I/O-aware job scheduling for burst buffer enabled HPC clusters
S Herbein, DH Ahn, D Lipari, TRW Scogland, M Stearman, M Grondona, ...
Proceedings of the 25th ACM International Symposium on High-Performance …, 2016
Heterogeneous task scheduling for accelerated openmp
TRW Scogland, B Rountree, W Feng, BR De Supinski
2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012
Trends in energy-efficient computing: A perspective from the Green500
B Subramaniam, W Saunders, T Scogland, W Feng
2013 International Green Computing Conference Proceedings, 1-8, 2013
Opencl and the 13 dwarfs: A work in progress
W Feng, H Lin, T Scogland, J Zhang
Proceedings of the 3rd acm/spec international conference on performance …, 2012
Flux: Overcoming scheduling challenges for exascale workflows
DH Ahn, N Bass, A Chu, J Garlick, M Grondona, S Herbein, HI Ingólfsson, ...
Future Generation Computer Systems 110, 202-213, 2020
A massively parallel infrastructure for adaptive multiscale simulations: modeling RAS initiation pathway for cancer
F Di Natale, H Bhatia, TS Carpenter, C Neale, S Kokkila-Schumacher, ...
Proceedings of the International Conference for High Performance Computing …, 2019
StreamMR: An Optimized MapReduce Framework for AMD GPUs
M Elteir, H Lin, W Feng, T Scogland
Parallel and Distributed Systems (ICPADS), 2011 IEEE 17th International …, 2011
The ongoing evolution of openmp
BR de Supinski, TRW Scogland, A Duran, M Klemm, SM Bellido, ...
Proceedings of the IEEE 106 (11), 2004-2019, 2018
The green500 list: Year one
WC Feng, T Scogland
2009 IEEE International Symposium on Parallel & Distributed Processing, 1-7, 2009
A Power-Measurement Methodology for Large-Scale, High-Performance Computing
TRW Scogland, CP Steffen, T Wilde, F Parent, S Coghlan, N Bates, ...
Architecture-Aware Mapping and Optimization on a 1600-Core GPU
M Daga, T Scogland, W Feng
Parallel and Distributed Systems (ICPADS), 2011 IEEE 17th International …, 2011
Performance portable C++ programming with RAJA (tutorial)
D Beckingsale, R Hornung, T Scogland, A Vargas
Proceedings of the 24th Symposium on Principles and Practice of Parallel …, 2019
Asymmetric interactions in symmetric multi-core systems: analysis, enhancements and evaluation
T Scogland, P Balaji, W Feng, G Narayanaswamy
SC'08: Proceedings of the 2008 ACM/IEEE Conference on Supercomputing, 1-12, 2008
Accelerating electrostatic surface potential calculation with multi-scale approximation on graphics processing units
R Anandakrishnan, TRW Scogland, AT Fenley, JC Gordon, W Feng, ...
Journal of Molecular Graphics and Modelling 28 (8), 904-910, 2010
Directive-based GPU programming for computational fluid dynamics
BP Pickering, CW Jackson, TRW Scogland, WC Feng, CJ Roy
Computers & Fluids 114, 242-253, 2015
OpenMP application experiences: Porting to accelerated nodes
S Bak, C Bertoni, S Boehm, R Budiardja, BM Chapman, J Doerfert, ...
Parallel Computing 109, 102856, 2022
A first look at integrated GPUs for green high-performance computing
TRW Scogland, H Lin, W Feng
Computer Science-Research and Development 25 (3), 125-134, 2010
Design and evaluation of scalable concurrent queues for many-core architectures
TRW Scogland, W Feng
Proceedings of the 6th ACM/SPEC International Conference on Performance …, 2015
CoreTSAR: adaptive worksharing for heterogeneous systems
TRW Scogland, W Feng, B Rountree, BR de Supinski
International Supercomputing Conference, 172-186, 2014
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