Dong H. Ahn
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
9
Active years
2002–2024
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CLUSTER | Distributed Order Recording Techniques for Efficient Record-and-Replay of Multi - Threaded Programs. | Xiang Fu, Shiman Meng, Weiping Zhang, Luanzheng Guo, Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz |
| 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 |
| 2021 | CLUSTER | Monitoring Large Scale Supercomputers: A Case Study with the Lassen Supercomputer. | Tapasya Patki, Adam Bertsch, Ian Karlin, Dong H. Ahn, Brian Van Essen, Barry Rountree, Bronis R. de Supinski, Nathan Besaw |
| 2021 | SC | Generalizable coordination of large multiscale workflows: challenges and learnings at scale. | Harsh Bhatia, Francesco Di Natale, Joseph Y. Moon, Xiaohua Zhang, Joseph R. Chavez, Fikret Aydin, Christopher B. Stanley, Tomas Oppelstrup, Chris Neale, Sara Kokkila Schumacher, Dong H. Ahn, Stephen Herbein, Timothy S. Carpenter, Sandrasegaram Gnanakaran, Peer-Timo Bremer, James N. Glosli, Felice C. Lightstone, Helgi I. Inglfsson |
| 2020 | PPoPP | ArcherGear: data race equivalencing for expeditious HPC debugging. | Samuel Thayer, Ganesh Gopalakrishnan, Ian Briggs, Michael Bentley, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee |
| 2019 | HPDC | Multi-Level Analysis of Compiler-Induced Variability and Performance Tradeoffs. | Michael Bentley, Ian Briggs, Ganesh Gopalakrishnan, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Holger E. Jones |
| 2018 | HPDC | Thread-local concurrency: a technique to handle data race detection at programming model abstraction. | Joachim Protze, Martin Schulz, Dong H. Ahn, Matthias S. Mller |
| 2018 | ICPP | PRIONN: Predicting Runtime and IO using Neural Networks. | Michael R. Wyatt II, Stephen Herbein, Todd Gamblin, Adam Moody, Dong H. Ahn, Michela Taufer |
| 2017 | PPoPP | Noise Injection Techniques to Expose Subtle and Unintended Message Races. | Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz, Christopher M. Chambreau |
| 2016 | HPDC | 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 |
| 2015 | SC | Clock delta compression for scalable order-replay of non-deterministic parallel applications. | Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz |
| 2014 | PLDI | Accurate application progress analysis for large-scale parallel debugging. | Subrata Mitra, Ignacio Laguna, Dong H. Ahn, Saurabh Bagchi, Martin Schulz, Todd Gamblin |
| 2014 | SC | Towards providing low-overhead data race detection for large OpenMP applications. | Joachim Protze, Simone Atzeni, Dong H. Ahn, Martin Schulz, Ganesh Gopalakrishnan, Matthias S. Mller, Ignacio Laguna, Zvonimir Rakamaric, Gregory L. Lee |
| 2013 | ICS | Massively parallel loading. | Wolfgang Frings, Dong H. Ahn, Matthew P. LeGendre, Todd Gamblin, Bronis R. de Supinski, Felix Wolf |
| 2013 | SC | Overcoming extreme-scale reproducibility challenges through a unified, targeted, and multilevel toolset. | Dong H. Ahn, Gregory L. Lee, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Martin Schulz, Ignacio Laguna |
| 2013 | TrustCom | An Optimal Algorithm for Extreme Scale Job Launching. | Joshua D. Goehner, Taylor L. Groves, Dorian C. Arnold, Dong H. Ahn, Gregory L. Lee |
| 2011 | SC | Large scale debugging of parallel tasks with AutomaDeD. | Ignacio Laguna, Todd Gamblin, Bronis R. de Supinski, Saurabh Bagchi, Greg Bronevetsky, Dong H. Ahn, Martin Schulz, Barry Rountree |
| 2010 | DSN | AutomaDeD: Automata-based debugging for dissimilar parallel tasks. | Greg Bronevetsky, Ignacio Laguna, Saurabh Bagchi, Bronis R. de Supinski, Dong H. Ahn, Martin Schulz |
| 2009 | SC | Scalable temporal order analysis for large scale debugging. | Dong H. Ahn, Bronis R. de Supinski, Ignacio Laguna, Gregory L. Lee, Ben Liblit, Barton P. Miller, Martin Schulz |
| 2008 | ICPP | Overcoming Scalability Challenges for Tool Daemon Launching. | Dong H. Ahn, Dorian C. Arnold, Bronis R. de Supinski, Gregory L. Lee, Barton P. Miller, Martin Schulz |
| 2008 | SC | Lessons learned at 208K: towards debugging millions of cores. | Gregory L. Lee, Dong H. Ahn, Dorian C. Arnold, Bronis R. de Supinski, Matthew P. LeGendre, Barton P. Miller, Martin Schulz, Ben Liblit |
| 2002 | SC | Scalable analysis techniques for microprocessor performance counter metrics. | Dong H. Ahn, Jeffrey S. Vetter |