Jae-Seung Yeom
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
10
Active years
2007–2025
Best venue rank
A
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 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 | HiPC | Predictive Execution of Workflows in a HPC+Cloud Environment. | Subhendu Behera, Jae-Seung Yeom, Daniel Milroy, Marc Niethammer, Frank Mueller |
| 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 |
| 2024 | COMPSAC | Relative Performance Prediction Using Few-Shot Learning. | Arunavo Dey, Aakash Dhakal, Tanzima Z. Islam, Jae-Seung Yeom, Tapasya Patki, Daniel Nichols, Alexander Movsesyan, Abhinav Bhatele |
| 2024 | SC | DFTracer: An Analysis-Friendly Data Flow Tracer for AI-Driven Workflows. | Hariharan Devarajan, Loc Pottier, Kaushik Velusamy, Huihuo Zheng, Izzet Yildirim, Olga Kogiou, Weikuan Yu, Anthony Kougkas, Xian-He Sun, Jae-Seung Yeom, Kathryn Mohror |
| 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 | 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 |
| 2019 | CLUSTER | Parallelizing Training of Deep Generative Models on Massive Scientific Datasets. | Sam Ade Jacobs, Jim Gaffney, Tom Benson, Peter B. Robinson, J. Luc Peterson, Brian K. Spears, Brian Van Essen, David Hysom, Jae-Seung Yeom, Tim Moon, Rushil Anirudh, Jayaraman J. Thiagarajan, Shusen Liu, Peer-Timo Bremer |
| 2017 | CCGRID | Massively Parallel Simulations of Spread of Infectious Diseases over Realistic Social Networks. | Abhinav Bhatele, Jae-Seung Yeom, Nikhil Jain, Chris J. Kuhlman, Yarden Livnat, Keith R. Bisset, Laxmikant V. Kal, Madhav V. Marathe |
| 2017 | SC | Performance modeling under resource constraints using deep transfer learning. | Aniruddha Marathe, Rushil Anirudh, Nikhil Jain, Abhinav Bhatele, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Jae-Seung Yeom, Barry Rountree, Todd Gamblin |
| 2016 | SC | Data-Driven Performance Modeling of Linear Solvers for Sparse Matrices. | Jae-Seung Yeom, Jayaraman J. Thiagarajan, Abhinav Bhatele, Greg Bronevetsky, Tzanio V. Kolev |
| 2014 | ICPP | TRAM: Optimizing Fine-Grained Communication with Topological Routing and Aggregation of Messages. | Lukasz Wesolowski, Ramprasad Venkataraman, Abhishek Gupta, Jae-Seung Yeom, Keith R. Bisset, Yanhua Sun, Pritish Jetley, Thomas R. Quinn, Laxmikant V. Kal |
| 2011 | SC | Poster: large-scale computational epidemiology modeling using charm++. | Keith R. Bisset, Ashwin M. Aji, Tariq Kamal, Jae-Seung Yeom |
| 2010 | SC | Strider: Runtime Support for Optimizing Strided Data Accesses on Multi-Cores with Explicitly Managed Memories. | Jae-Seung Yeom, Dimitrios S. Nikolopoulos |
| 2009 | PPoPP | A comparison of programming models for multiprocessors with explicitly managed memory hierarchies. | Scott Schneider, Jae-Seung Yeom, Benjamin Rose, John C. Linford, Adrian Sandu, Dimitrios S. Nikolopoulos |
| 2008 | CCGRID | Scheduling Asymmetric Parallelism on a PlayStation3 Cluster. | Filip Blagojevic, Matthew Curtis-Maury, Jae-Seung Yeom, Scott Schneider, Dimitrios S. Nikolopoulos |
| 2007 | TridentCom | A Testbed Emulator for Cross-Layer Studies in Mobile Ad Hoc Wireless Networks. | Jae-Seung Yeom, Nawaporn Wisitpongphan, Sooksan Panichpapiboon, Ozan K. Tonguz |