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Books and Theses
- 2014
[b1]Thomas Scogland:
Runtime Adaptation for Autonomic Heterogeneous Computing. Virginia Tech, Blacksburg, VA, USA, 2014
Journal Articles
- 2022
- [j8]Stephen Herbein
, Tapasya Patki, Dong H. Ahn, Sebastian Mobo, Clark Hathaway, Silvina Caíno-Lores, James Corbett, David Domyancic, Thomas R. W. Scogland, Bronis R. de Supinski, Michela Taufer:
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, Markus Eisenbach, Hal Finkel, Oscar R. Hernandez, Joseph Huber, Shintaro Iwasaki, Vivek Kale, Paul R. C. Kent, JaeHyuk Kwack, Meifeng Lin, Piotr Luszczek, Ye Luo, Buu Pham, Swaroop Pophale, Kiran Ravikumar, Vivek Sarkar, Thomas Scogland, Shilei Tian, P. K. Yeung:
OpenMP application experiences: Porting to accelerated nodes. Parallel Comput. 109: 102856 (2022) - 2020
- [j6]Dong H. Ahn, Ned Bass, Albert Chu, Jim Garlick, Mark Grondona, Stephen Herbein, Helgi I. Ingólfsson, Joseph Koning, Tapasya Patki, Thomas R. W. Scogland, Becky Springmeyer, Michela Taufer:
Flux: Overcoming scheduling challenges for exascale workflows. Future Gener. Comput. Syst. 110: 202-213 (2020) - 2018
- [j5]Tom Scogland, David Beckingsale:
Introduction. Int. J. High Perform. Comput. Appl. 32(4): 553-554 (2018) - [j4]Bronis R. de Supinski, Thomas R. W. Scogland, Alejandro Duran, Michael Klemm, Sergi Mateo Bellido, Stephen L. Olivier, Christian Terboven, Timothy G. Mattson:
The Ongoing Evolution of OpenMP. Proc. IEEE 106(11): 2004-2019 (2018) - 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) - 2013
- [j2]Tom Scogland, Balaji Subramaniam, Wu-chun Feng:
The Green500 list: escapades to exascale. Comput. Sci. Res. Dev. 28(2-3): 109-117 (2013) - 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)
Conference and Workshop Papers
- 2024
- [c47]Wu-chun Feng, Xuewen Cui, Thomas Scogland, Bronis R. de Supinski:
BLP: Block-Level Pipelining for GPUs. CF 2024 - [c46]Bennett Cooper, Thomas R. W. Scogland, Rong Ge:
Shared Virtual Memory: Its Design and Performance Implications for Diverse Applications. ICS 2024: 26-37 - [c45]Brian Homerding, Arturo Vargas, Tom Scogland, Robert Chen, Mike Davis, Rich Hornung:
Enabling RAJA on Intel GPUs with SYCL. IWOCL 2024: 7:1-7:10 - 2023
- [c44]Shilei Tian, Tom Scogland, Barbara M. Chapman, Johannes Doerfert:
OpenMP Kernel Language Extensions for Performance Portable GPU Codes. SC Workshops 2023: 875-883 - [c43]Tapasya Patki, Dong H. Ahn, Daniel Milroy, Jae-Seung Yeom, Jim Garlick, Mark Grondona, Stephen Herbein, Thomas Scogland:
Fluxion: A Scalable Graph-Based Resource Model for HPC Scheduling Challenges. SC Workshops 2023: 2077-2088 - 2022
- [c42]Johannes Doerfert, Marc Jasper, Joseph Huber, Khaled Abdelaal, Giorgis Georgakoudis, Thomas Scogland, Konstantinos Parasyris:
Breaking the Vendor Lock: Performance Portable Programming through OpenMP as Target Independent Runtime Layer. PACT 2022: 494-504 - [c41]Giorgis Georgakoudis, Thomas R. W. Scogland, Chunhua Liao, Bronis R. de Supinski:
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, Johannes Doerfert, Ignacio Laguna, Thomas R. W. Scogland:
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 - 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
- [c35]Giorgis Georgakoudis, Johannes Doerfert, Ignacio Laguna, Thomas R. W. Scogland:
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 - 2019
- [c33]Vinu Sreenivasan, Rajath Javali, Mary W. Hall, Prasanna Balaprakash, Thomas R. W. Scogland, Bronis R. de Supinski:
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, David S. Hollman, Noah Evans, Bronis R. de Supinski:
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, Tomas Oppelstrup, Liam Stanton, Xiaohua Zhang, Shiv Sundram, Thomas R. W. Scogland, Gautham Dharuman, Michael P. Surh, Yue Yang, Claudia Misale, Lars Schneidenbach, Carlos H. A. Costa, Changhoan Kim, Bruce D'Amora, Sandrasegaram Gnanakaran, Dwight V. Nissley, Frederick H. Streitz, Felice C. Lightstone, Peer-Timo Bremer, James N. Glosli, Helgi I. Ingólfsson:
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
- [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, Thomas R. W. Scogland, Bronis R. de Supinski, Wu-chun Feng:
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, Thomas R. W. Scogland, Bronis R. de Supinski, Wu-Chun Feng:
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
- [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
- [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, Torsten Wilde, Florent Parent, Susan Coghlan, Natalie J. Bates, Wu-chun Feng, Erich Strohmaier:
A power-measurement methodology for large-scale, high-performance computing. ICPE 2014: 149-159 - 2013
- [c11]Balaji Subramaniam, Winston Saunders, Tom Scogland, Wu-chun Feng:
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, Barry Rountree, Wu-chun Feng, Bronis R. de Supinski:
Heterogeneous Task Scheduling for Accelerated OpenMP. IPDPS 2012: 144-155 - [c8]Wu-chun Feng, Heshan Lin, Thomas Scogland, Jing Zhang:
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, Wu-chun Feng:
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, Balaji Subramaniam, Wu-chun Feng:
Emerging Trends on the Evolving Green500: Year Three. IPDPS Workshops 2011: 822-828 - 2009
- [c3]Jeremy S. Archuleta, Yong Cao, Thomas Scogland, Wu-chun Feng:
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, Pavan Balaji, Wu-chun Feng, Ganesh Narayanaswamy:
Asymmetric interactions in symmetric multi-core systems: analysis, enhancements and evaluation. SC 2008: 17
Informal and Other Publications
- 2024
- [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
- [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
- [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)
Coauthor Index
aka: Wu-Chun Feng
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