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Thomas Scogland
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2020 – today
- 2024
- [c47]Wu-chun Feng
, Xuewen Cui
BLP: Block-Level Pipelining for GPUs. CF 2024 - [c46]Bennett Cooper
Shared Virtual Memory: Its Design and Performance Implications for Diverse Applications. ICS 2024: 26-37 - [c45]Brian Homerding
Enabling RAJA on Intel GPUs with SYCL. IWOCL 2024: 7:1-7:10 - [i5]Farid Zakaria, Zheyuan Chen, Andrew Quinn, Thomas R. W. Scogland:
sqlelf: a SQL-centric Approach to ELF Analysis. CoRR abs/2405.03883 (2024) - [i4]Bennett Cooper, Thomas R. W. Scogland, Rong Ge:
Shared Virtual Memory: Its Design and Performance Implications for Diverse Applications. CoRR abs/2405.06811 (2024) - 2023
- [c44]Shilei Tian
OpenMP Kernel Language Extensions for Performance Portable GPU Codes. SC Workshops 2023: 875-883 - [c43]Tapasya Patki
Fluxion: A Scalable Graph-Based Resource Model for HPC Scheduling Challenges. SC Workshops 2023: 2077-2088 - [i3]Shilei Tian, Tom Scogland, Barbara M. Chapman, Johannes Doerfert:
GPU First - Execution of Legacy CPU Codes on GPUs. CoRR abs/2306.11686 (2023) - 2022
- [j8]Stephen Herbein
An analytical performance model of generalized hierarchical scheduling. Int. J. High Perform. Comput. Appl. 36(3): 289-306 (2022) - [j7]Seonmyeong Bak, Colleen Bertoni, Swen Boehm, Reuben D. Budiardja, Barbara M. Chapman, Johannes Doerfert
OpenMP application experiences: Porting to accelerated nodes. Parallel Comput. 109: 102856 (2022) - [c42]Johannes Doerfert, Marc Jasper, Joseph Huber, Khaled Abdelaal, Giorgis Georgakoudis
Breaking the Vendor Lock: Performance Portable Programming through OpenMP as Target Independent Runtime Layer. PACT 2022: 494-504 - [c41]Giorgis Georgakoudis
Extending OpenMP to Support Automated Function Specialization Across Translation Units. IWOMP 2022: 159-173 - [c40]Harshitha Menon, Konstantinos Parasyris, Tom Scogland, Todd Gamblin:
Searching for High-Fidelity Builds Using Active Learning. MSR 2022: 179-190 - [c39]Konstantinos Parasyris, Giorgis Georgakoudis
Piper: Pipelining OpenMP Offloading Execution Through Compiler Optimization For Performance. P3HPC@SC 2022: 100-110 - [c38]Farid Zakaria, Thomas R. W. Scogland, Todd Gamblin, Carlos Maltzahn:
Mapping Out the HPC Dependency Chaos. SC 2022: 34:1-34:12 - [i2]Harshitha Menon, Konstantinos Parasyris, Tom Scogland, Todd Gamblin:
Reliabuild: Searching for High-Fidelity Builds Using Active Learning. CoRR abs/2202.05223 (2022) - [i1]Farid Zakaria, Thomas R. W. Scogland, Todd Gamblin, Carlos Maltzahn:
Mapping Out the HPC Dependency Chaos. CoRR abs/2211.05118 (2022) - 2021
- [c37]Brandon Neth, Thomas R. W. Scogland, Bronis R. de Supinski, Michelle Mills Strout:
Inter-loop optimization in RAJA using loop chains. ICS 2021: 1-12 - [c36]Brandon Neth, Thomas R. W. Scogland, Alejandro Duran, Bronis R. de Supinski:
Beyond Explicit Transfers: Shared and Managed Memory in OpenMP. IWOMP 2021: 183-194 - 2020
- [j6]Dong H. Ahn, Ned Bass, Albert Chu, Jim Garlick, Mark Grondona, Stephen Herbein, Helgi I. Ingólfsson
Flux: Overcoming scheduling challenges for exascale workflows. Future Gener. Comput. Syst. 110: 202-213 (2020) - [c35]Giorgis Georgakoudis
FAROS: A Framework to Analyze OpenMP Compilation Through Benchmarking and Compiler Optimization Analysis. IWOMP 2020: 3-17 - [c34]Brandon Neth, Thomas R. W. Scogland, Michelle Mills Strout, Bronis R. de Supinski:
Unified Sequential Optimization Directives in OpenMP. IWOMP 2020: 85-97
2010 – 2019
- 2019
- [c33]Vinu Sreenivasan, Rajath Javali, Mary W. Hall
A Framework for Enabling OpenMP Autotuning. IWOMP 2019: 50-60 - [c32]Yonghong Yan, Anjia Wang, Chunhua Liao, Thomas R. W. Scogland, Bronis R. de Supinski:
Extending OpenMP Metadirective Semantics for Runtime Adaptation. IWOMP 2019: 201-214 - [c31]Thomas R. W. Scogland, Dan Sunderland, Stephen L. Olivier
Making OpenMP Ready for C++ Executors. IWOMP 2019: 320-332 - [c30]David Beckingsale, Richard D. Hornung, Tom Scogland, Arturo Vargas:
Performance portable C++ programming with RAJA. PPoPP 2019: 455-456 - [c29]Francesco Di Natale, Harsh Bhatia, Timothy S. Carpenter, Chris Neale, Sara Kokkila Schumacher
A massively parallel infrastructure for adaptive multiscale simulations: modeling RAS initiation pathway for cancer. SC 2019: 57:1-57:16 - [c28]David Beckingsale, Thomas R. W. Scogland, Jason Burmark, Rich Hornung, Holger Jones, William Killian, Adam J. Kunen, Olga Pearce, Peter Robinson, Brian S. Ryujin:
RAJA: Portable Performance for Large-Scale Scientific Applications. P3HPC@SC 2019: 71-81 - 2018
- [j5]Tom Scogland, David Beckingsale:
Introduction. Int. J. High Perform. Comput. Appl. 32(4): 553-554 (2018) - [j4]Bronis R. de Supinski
The Ongoing Evolution of OpenMP. Proc. IEEE 106(11): 2004-2019 (2018) - [c27]Ian J. Bertolacci, Michelle Mills Strout, Bronis R. de Supinski, Thomas R. W. Scogland, Eddie C. Davis, Catherine Olschanowsky:
Extending OpenMP to Facilitate Loop Optimization. IWOMP 2018: 53-65 - 2017
- [c26]Xuewen Cui
Directive-Based Partitioning and Pipelining for Graphics Processing Units. IPDPS 2017: 575-584 - [c25]Tom Scogland, Chris Earl, Bronis R. de Supinski:
Custom Data Mapping for Composable Data Management. IWOMP 2017: 338-347 - [c24]William Killian, Tom Scogland, Adam Kunen, John Cavazos:
The Design and Implementation of OpenMP 4.5 and OpenACC Backends for the RAJA C++ Performance Portability Layer. WACCPD@SC 2017: 63-82 - 2016
- [c23]Xuewen Cui
Directive-Based Pipelining Extension for OpenMP. CLUSTER 2016: 481-484 - [c22]Stephen Herbein, Dong H. Ahn, Don Lipari, Thomas R. W. Scogland, Marc Stearman, Mark Grondona, Jim Garlick, Becky Springmeyer, Michela Taufer
Scalable I/O-Aware Job Scheduling for Burst Buffer Enabled HPC Clusters. HPDC 2016: 69-80 - [c21]Tom Scogland, Bronis R. de Supinski:
A Case for Extending Task Dependencies. IWOMP 2016: 130-140 - [c20]Ian Karlin, Tom Scogland, Arpith C. Jacob, Samuel F. Antão, Gheorghe-Teodor Bercea, Carlo Bertolli, Bronis R. de Supinski, Erik W. Draeger, Alexandre E. Eichenberger, Jim Glosli, Holger Jones, Adam Kunen, David Poliakoff, David F. Richards:
Early Experiences Porting Three Applications to OpenMP 4.5. IWOMP 2016: 281-292 - 2015
- [j3]Thomas R. W. Scogland, Wu-chun Feng, Barry Rountree, Bronis R. de Supinski:
CoreTSAR: Core Task-Size Adapting Runtime. IEEE Trans. Parallel Distributed Syst. 26(11): 2970-2983 (2015) - [c19]Thomas R. W. Scogland, John C. Gyllenhaal, Jeff Keasler, Rich Hornung, Bronis R. de Supinski:
Enabling Region Merging Optimizations in OpenMP. IWOMP 2015: 177-188 - [c18]Thomas R. W. Scogland, Jeff Keasler, John C. Gyllenhaal, Rich Hornung, Bronis R. de Supinski, Hal Finkel:
Supporting Indirect Data Mapping in OpenMP. IWOMP 2015: 260-272 - [c17]Thomas Scogland, Jonathan Azose, David Rohr, Suzanne Rivoire, Natalie J. Bates, Daniel Hackenberg
Node variability in large-scale power measurements: perspectives from the Green500, Top500 and EEHPCWG. SC 2015: 74:1-74:11 - [c16]Thomas R. W. Scogland, Wu-chun Feng:
Design and Evaluation of Scalable Concurrent Queues for Many-Core Architectures. ICPE 2015: 63-74 - 2014
- [b1]Thomas Scogland:
Runtime Adaptation for Autonomic Heterogeneous Computing. Virginia Tech, Blacksburg, VA, USA, 2014 - [c15]Thomas R. W. Scogland, Wu-Chun Feng:
Locality-aware memory association for multi-target worksharing in OpenMP. PACT 2014: 515-516 - [c14]Thomas R. W. Scogland, Wu-chun Feng:
Runtime Adaptation for Autonomic Heterogeneous Computing. CCGRID 2014: 562-565 - [c13]Thomas R. W. Scogland, Wu-chun Feng, Barry Rountree, Bronis R. de Supinski:
CoreTSAR: Adaptive Worksharing for Heterogeneous Systems. ISC 2014: 172-186 - [c12]Thomas R. W. Scogland, Craig P. Steffen
A power-measurement methodology for large-scale, high-performance computing. ICPE 2014: 149-159 - 2013
- [j2]Tom Scogland
The Green500 list: escapades to exascale. Comput. Sci. Res. Dev. 28(2-3): 109-117 (2013) - [c11]Balaji Subramaniam, Winston Saunders, Tom Scogland
Trends in energy-efficient computing: A perspective from the Green500. IGCC 2013: 1-8 - [c10]Konstantinos Krommydas, Thomas R. W. Scogland, Wu-chun Feng:
On the Programmability and Performance of Heterogeneous Platforms. ICPADS 2013: 224-231 - 2012
- [c9]Thomas Scogland
Heterogeneous Task Scheduling for Accelerated OpenMP. IPDPS 2012: 144-155 - [c8]Wu-chun Feng, Heshan Lin, Thomas Scogland
OpenCL and the 13 dwarfs: a work in progress. ICPE 2012: 291-294 - 2011
- [c7]Mayank Daga, Wu-chun Feng, Thomas Scogland
Towards accelerating molecular modeling via multi-scale approximation on a GPU. ICCABS 2011: 75-80 - [c6]Mayank Daga, Thomas Scogland
Architecture-Aware Mapping and Optimization on a 1600-Core GPU. ICPADS 2011: 316-323 - [c5]Marwa K. Elteir, Heshan Lin, Wu-chun Feng, Tom Scogland
StreamMR: An Optimized MapReduce Framework for AMD GPUs. ICPADS 2011: 364-371 - [c4]Thomas Scogland
Emerging Trends on the Evolving Green500: Year Three. IPDPS Workshops 2011: 822-828 - 2010
- [j1]Thomas Scogland, Heshan Lin, Wu-chun Feng:
A first look at integrated GPUs for green high-performance computing. Comput. Sci. Res. Dev. 25(3-4): 125-134 (2010)
2000 – 2009
- 2009
- [c3]Jeremy S. Archuleta, Yong Cao, Thomas Scogland
Multi-dimensional characterization of temporal data mining on graphics processors. IPDPS 2009: 1-12 - [c2]Wu-chun Feng, Thomas Scogland:
The Green500 List: Year one. IPDPS 2009: 1-7 - 2008
- [c1]Thomas Scogland
Asymmetric interactions in symmetric multi-core systems: analysis, enhancements and evaluation. SC 2008: 17
Coauthor Index
aka: Wu-Chun Feng
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last updated on 2024-08-05 20:17 CEST by the dblp team
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