Tom Scogland
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
9
Active years
2011–2026
Best venue rank
A
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CCGRID | Priority-Aware GPU Co-Scheduling for High Performance Computing. | Naman Kulshreshtha, Tapasya Patki, Aniruddha Marathe, Tom Scogland, Rong Ge |
| 2026 | HPDC | Flux Fiction: Hopping Toward Storage Graph Scheduling With El Capitan's Rabbits. | W. Jay Ashworth, Ian Lumsden, Jim Garlick, Mark Grondona, Olga Pearce, Stephanie Brink, Daniel Milroy, Tapasya Patki, Tom Scogland, Michela Taufer |
| 2025 | CCGRID | xAMM: "Attention" to Details Improves Cross-Platform Prediction Accuracy. | Aakash Raj Dhakal, Tanzima Z. Islam, Arunavo Dey, Daniel Nichols, Abhinav Bhatele, Tapasya Patki, Tom Scogland, Jae-Seung Yeom |
| 2025 | CLUSTER | Optimizing I/O for an Exascale Implicit Kinetic Plasma Simulation using the Rabbit Storage System. | Ian Lumsden, Hariharan Devarajan, Izzet Yildirim, Stefano Markidis, Andong Hu, Ivy Peng, Luca Pennati, Dewi Yokelson, Stephanie Brink, Olga Pearce, Tom Scogland, Bronis R. de Supinski, Gian Luca Delzanno, Anthony Kougkas, Xian-He Sun, Michela Taufer |
| 2025 | HPDC | ModelX : A Novel Transfer Learning Approach Across Heterogeneous Datasets. | Arunavo Dey, Neil Antony, Aakash Raj Dhakal, Kowshik Thopalli, Jayaraman J. Thiagarajan, Tapasya Patki, Aniruddha Marathe, Tom Scogland, Jae-Seung Yeom, Tanzima Z. Islam |
| 2025 | ICPP | Cross-Architecture Performance Analysis Using the RAJA Performance Suite. | Dewi Yokelson, Stephanie Brink, Jason Burmark, Michael McKinsey, Befikir Bogale, Ian Lumsden, Michela Taufer, Tom Scogland, Olga Pearce |
| 2024 | SC | 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 Bhme, Stephanie Brink, Michela Taufer, Tom Scogland |
| 2024 | SBAC-PAD | DYAD: Locality-aware Data Management for accelerating Deep Learning Training. | Hariharan Devarajan, Ian Lumsden, Chen Wang, Konstantia Georgouli, Tom Scogland, Jae-Seung Yeom, Michela Taufer |
| 2023 | SC | OpenMP Kernel Language Extensions for Performance Portable GPU Codes. | Shilei Tian, Tom Scogland, Barbara M. Chapman, Johannes Doerfert |
| 2022 | MSR | Searching for High-Fidelity Builds Using Active Learning. | Harshitha Menon, Konstantinos Parasyris, Tom Scogland, Todd Gamblin |
| 2019 | PPoPP | Performance portable C++ programming with RAJA. | David Beckingsale, Richard D. Hornung, Tom Scogland, Arturo Vargas |
| 2017 | SC | 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 |
| 2011 | ICPADS | StreamMR: An Optimized MapReduce Framework for AMD GPUs. | Marwa K. Elteir, Heshan Lin, Wu-chun Feng, Tom Scogland |