Asymmetric interactions in symmetric multi-core systems: analysis, enhancements and evaluation. - Thomas Scogland; Pavan Balaji; Wu-chun Feng; Ganesh Narayanaswamy (SC, 2008)

Multi-dimensional characterization of temporal data mining on graphics processors. - Jeremy S. Archuleta; Yong Cao 003; Thomas Scogland; Wu-chun Feng (IPDPS, 2009)

The Green500 List: Year one. - Wu-chun Feng; Thomas Scogland (IPDPS, 2009)

A first look at integrated GPUs for green high-performance computing. - Thomas Scogland; Heshan Lin; Wu-chun Feng (Comput. Sci. Res. Dev., 2010)

Towards accelerating molecular modeling via multi-scale approximation on a GPU. - Mayank Daga; Wu-chun Feng; Thomas Scogland (ICCABS, 2011)

Architecture-Aware Mapping and Optimization on a 1600-Core GPU. - Mayank Daga; Thomas Scogland; Wu-chun Feng (ICPADS, 2011)

StreamMR: An Optimized MapReduce Framework for AMD GPUs. - Marwa K. Elteir; Heshan Lin; Wu-chun Feng; Tom Scogland (ICPADS, 2011)

Emerging Trends on the Evolving Green500: Year Three. - Thomas Scogland; Balaji Subramaniam; Wu-chun Feng (IPDPS Workshops, 2011)

Heterogeneous Task Scheduling for Accelerated OpenMP. - Thomas Scogland; Barry Rountree; Wu-chun Feng; Bronis R. de Supinski (IPDPS, 2012)

OpenCL and the 13 dwarfs: a work in progress. - Wu-chun Feng; Heshan Lin; Thomas Scogland; Jing Zhang 039 (ICPE, 2012)

Trends in energy-efficient computing: A perspective from the Green500. - Balaji Subramaniam; Winston Saunders; Tom Scogland; Wu-chun Feng (IGCC, 2013)

On the Programmability and Performance of Heterogeneous Platforms. - Konstantinos Krommydas; Thomas R. W. Scogland; Wu-chun Feng (ICPADS, 2013)

The Green500 list: escapades to exascale. - Tom Scogland; Balaji Subramaniam; Wu-chun Feng (Comput. Sci. Res. Dev., 2013)

Locality-aware memory association for multi-target worksharing in OpenMP. - Thomas R. W. Scogland; Wu-Chun Feng (PACT, 2014)

Runtime Adaptation for Autonomic Heterogeneous Computing. - Thomas R. W. Scogland; Wu-chun Feng (CCGRID, 2014)

CoreTSAR: Adaptive Worksharing for Heterogeneous Systems. - Thomas R. W. Scogland; Wu-chun Feng; Barry Rountree; Bronis R. de Supinski (ISC, 2014)

A power-measurement methodology for large-scale, high-performance computing. - Thomas R. W. Scogland; Craig P. Steffen; Torsten Wilde; Florent Parent; Susan Coghlan; Natalie J. Bates; Wu-chun Feng; Erich Strohmaier (ICPE, 2014)

Runtime Adaptation for Autonomic Heterogeneous Computing. - Thomas Scogland (2014)

Enabling Region Merging Optimizations in OpenMP. - Thomas R. W. Scogland; John C. Gyllenhaal; Jeff Keasler; Rich Hornung; Bronis R. de Supinski (IWOMP, 2015)

Supporting Indirect Data Mapping in OpenMP. - Thomas R. W. Scogland; Jeff Keasler; John C. Gyllenhaal; Rich Hornung; Bronis R. de Supinski; Hal Finkel (IWOMP, 2015)

Node variability in large-scale power measurements: perspectives from the Green500, Top500 and EEHPCWG. - Thomas Scogland; Jonathan Azose; David Rohr; Suzanne Rivoire; Natalie J. Bates; Daniel Hackenberg (SC, 2015)

Design and Evaluation of Scalable Concurrent Queues for Many-Core Architectures. - Thomas R. W. Scogland; Wu-chun Feng (ICPE, 2015)

CoreTSAR: Core Task-Size Adapting Runtime. - Thomas R. W. Scogland; Wu-chun Feng; Barry Rountree; Bronis R. de Supinski (IEEE Trans. Parallel Distributed Syst., 2015)

Directive-Based Pipelining Extension for OpenMP. - Xuewen Cui; Thomas R. W. Scogland; Bronis R. de Supinski; Wu-Chun Feng (CLUSTER, 2016)

Scalable I/O-Aware Job Scheduling for Burst Buffer Enabled HPC Clusters. - Stephen Herbein; Dong H. Ahn; Don Lipari; Thomas R. W. Scogland; Marc Stearman; Mark Grondona; Jim Garlick; Becky Springmeyer; Michela Taufer (HPDC, 2016)

Early Experiences Porting Three Applications to OpenMP 4.5. - 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; et al. (IWOMP, 2016)

A Case for Extending Task Dependencies. - Tom Scogland; Bronis R. de Supinski (IWOMP, 2016)

Directive-Based Partitioning and Pipelining for Graphics Processing Units. - Xuewen Cui; Thomas R. W. Scogland; Bronis R. de Supinski; Wu-chun Feng (IPDPS, 2017)

Custom Data Mapping for Composable Data Management. - Tom Scogland; Chris Earl; Bronis R. de Supinski (IWOMP, 2017)

The Design and Implementation of OpenMP 4.5 and OpenACC Backends for the RAJA C++ Performance Portability Layer. - William Killian; Tom Scogland; Adam Kunen; John Cavazos (WACCPD@SC, 2017)

Extending OpenMP to Facilitate Loop Optimization. - Ian J. Bertolacci; Michelle Mills Strout; Bronis R. de Supinski; Thomas R. W. Scogland; Eddie C. Davis; Catherine Olschanowsky (IWOMP, 2018)

Introduction. - Tom Scogland; David Beckingsale (Int. J. High Perform. Comput. Appl., 2018)

The Ongoing Evolution of OpenMP. - Bronis R. de Supinski; Thomas R. W. Scogland; Alejandro Duran; Michael Klemm; Sergi Mateo Bellido; Stephen L. Olivier; Christian Terboven; Timothy G. Mattson (Proc. IEEE, 2018)

Extending OpenMP Metadirective Semantics for Runtime Adaptation. - Yonghong Yan 001; Anjia Wang; Chunhua Liao; Thomas R. W. Scogland; Bronis R. de Supinski (IWOMP, 2019)

Making OpenMP Ready for C++ Executors. - Thomas R. W. Scogland; Dan Sunderland; Stephen L. Olivier; David S. Hollman; Noah Evans; Bronis R. de Supinski (IWOMP, 2019)

A Framework for Enabling OpenMP Autotuning. - Vinu Sreenivasan; Rajath Javali; Mary W. Hall; Prasanna Balaprakash; Thomas R. W. Scogland; Bronis R. de Supinski (IWOMP, 2019)

Performance portable C++ programming with RAJA. - David Beckingsale; Richard D. Hornung; Tom Scogland; Arturo Vargas (PPoPP, 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 009; Brian S. Ryujin (P3HPC@SC, 2019)

A massively parallel infrastructure for adaptive multiscale simulations: modeling RAS initiation pathway for cancer. - 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; et al. (SC, 2019)

FAROS: A Framework to Analyze OpenMP Compilation Through Benchmarking and Compiler Optimization Analysis. - Giorgis Georgakoudis; Johannes Doerfert; Ignacio Laguna; Thomas R. W. Scogland (IWOMP, 2020)

Unified Sequential Optimization Directives in OpenMP. - Brandon Neth; Thomas R. W. Scogland; Michelle Mills Strout; Bronis R. de Supinski (IWOMP, 2020)

Flux: Overcoming scheduling challenges for exascale workflows. - 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 (Future Gener. Comput. Syst., 2020)

Inter-loop optimization in RAJA using loop chains. - Brandon Neth; Thomas R. W. Scogland; Bronis R. de Supinski; Michelle Mills Strout (ICS, 2021)

Beyond Explicit Transfers: Shared and Managed Memory in OpenMP. - Brandon Neth; Thomas R. W. Scogland; Alejandro Duran; Bronis R. de Supinski (IWOMP, 2021)

Breaking the Vendor Lock: Performance Portable Programming through OpenMP as Target Independent Runtime Layer. - Johannes Doerfert; Marc Jasper; Joseph Huber; Khaled Abdelaal; Giorgis Georgakoudis; Thomas Scogland; Konstantinos Parasyris (PACT, 2022)

Extending OpenMP to Support Automated Function Specialization Across Translation Units. - Giorgis Georgakoudis; Thomas R. W. Scogland; Chunhua Liao; Bronis R. de Supinski (IWOMP, 2022)

Searching for High-Fidelity Builds Using Active Learning. - Harshitha Menon; Konstantinos Parasyris; Tom Scogland; Todd Gamblin (MSR, 2022)

Piper: Pipelining OpenMP Offloading Execution Through Compiler Optimization For Performance. - Konstantinos Parasyris; Giorgis Georgakoudis; Johannes Doerfert; Ignacio Laguna; Thomas R. W. Scogland (P3HPC@SC, 2022)

Mapping Out the HPC Dependency Chaos. - Farid Zakaria; Thomas R. W. Scogland; Todd Gamblin; Carlos Maltzahn (SC, 2022)

Reliabuild: Searching for High-Fidelity Builds Using Active Learning. - Harshitha Menon; Konstantinos Parasyris; Tom Scogland; Todd Gamblin (CoRR, 2022)

An analytical performance model of generalized hierarchical scheduling. - 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 (Int. J. High Perform. Comput. Appl., 2022)

OpenMP application experiences: Porting to accelerated nodes. - Seonmyeong Bak; Colleen Bertoni; Swen Boehm; Reuben D. Budiardja; Barbara M. Chapman; Johannes Doerfert; Markus Eisenbach 002; Hal Finkel; Oscar R. Hernandez; Joseph Huber; Shintaro Iwasaki; Vivek Kale; et al. (Parallel Comput., 2022)

Fluxion: A Scalable Graph-Based Resource Model for HPC Scheduling Challenges. - Tapasya Patki; Dong H. Ahn; Daniel Milroy; Jae-Seung Yeom; Jim Garlick; Mark Grondona; Stephen Herbein; Thomas Scogland (SC Workshops, 2023)

OpenMP Kernel Language Extensions for Performance Portable GPU Codes. - Shilei Tian; Tom Scogland; Barbara M. Chapman; Johannes Doerfert (SC Workshops, 2023)

GPU First - Execution of Legacy CPU Codes on GPUs. - Shilei Tian; Tom Scogland; Barbara M. Chapman; Johannes Doerfert (CoRR, 2023)

BLP: Block-Level Pipelining for GPUs. - Wu-chun Feng; Xuewen Cui; Thomas Scogland; Bronis R. de Supinski (CF, 2024)

Shared Virtual Memory: Its Design and Performance Implications for Diverse Applications. - Bennett Cooper; Thomas R. W. Scogland; Rong Ge 002 (ICS, 2024)

Enabling RAJA on Intel GPUs with SYCL. - Brian Homerding; Arturo Vargas; Tom Scogland; Robert Chen; Mike Davis; Rich Hornung (IWOCL, 2024)

DYAD: Locality-aware Data Management for accelerating Deep Learning Training. - Hariharan Devarajan; Ian Lumsden; Chen Wang 004; Konstantia Georgouli; Tom Scogland; Jae-Seung Yeom; Michela Taufer (SBAC-PAD, 2024)

RAJA Performance Suite: Performance Portability Analysis with Caliper and Thicket. - Olga Pearce; Jason Burmark; Rich Hornung; Befikir Bogale; Ian Lumsden; Michael McKinsey; Dewi Yokelson; David Böhme; Stephanie Brink; Michela Taufer; Tom Scogland (SC Workshops, 2024)

sqlelf: a SQL-centric Approach to ELF Analysis. - Farid Zakaria; Zheyuan Chen; Andrew Quinn 001; Thomas R. W. Scogland (CoRR, 2024)

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows. - Rafael Ferreira da Silva; Deborah Bard; Kyle Chard; Shaun De Witt; Ian T. Foster; Tom Gibbs; Carole A. Goble; William F. Godoy; Johan Gustafsson 001; Utz-Uwe Haus; Stephen Hudson; Shantenu Jha; et al. (CoRR, 2024)

Symbol Resolution MatRs: Make it Fast and Observable with Stable Linking. - Farid Zakaria; Andrew Quinn 001; Thomas R. W. Scogland (CoRR, 2025)

Machine Learning-driven Multiscale MD Workflows: The Mini-MuMMI Experience. - Loïc Pottier; Konstantia Georgouli; Timothy S. Carpenter; Fikret Aydin; Jeremy O. B. Tempkin; Dwight V. Nissley; Frederick H. Streitz; Thomas R. W. Scogland; Peer-Timo Bremer; Felice C. Lightstone; Helgi I. Ingólfsson (CoRR, 2025)

Exascale Implicit Kinetic Plasma Simulations on El Capitan for Solving the Micro-Macro Coupling in Magnetospheric Physics. - Stefano Markidis; Andong Hu; Ivy Peng; Luca Pennati; Ian Lumsden; Dewi Yokelson; Stephanie Brink; Olga Pearce; Thomas R. W. Scogland; Bronis R. de Supinski; Gian Luca Delzanno; Michela Taufer (CoRR, 2025)