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ORCIDDong H. Ahn
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2020 – today
- 2024
[c44]Xiang Fu, Shiman Meng, Weiping Zhang, Luanzheng Guo, Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz:
Distributed Order Recording Techniques for Efficient Record-and-Replay of Multi - Threaded Programs. CLUSTER 2024: 27-38- 2023
- [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
- [j12]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) - [c42]Daniel J. Milroy, Claudia Misale, Giorgis Georgakoudis, Tonia Elengikal, Abhik Sarkar, Maurizio Drocco, Tapasya Patki, Jae-Seung Yeom, Carlos Eduardo Arango Gutierrez, Dong H. Ahn, Yoonho Park:
One Step Closer to Converged Computing: Achieving Scalability with Cloud-Native HPC. CANOPIE-HPC@SC 2022: 57-70 - [c41]Dong H. Ahn, Xiaohua Zhang, Jeffrey Mast, Stephen Herbein, Francesco Di Natale, Dan Kirshner, Sam Ade Jacobs, Ian Karlin, Daniel J. Milroy, Bronis R. de Supinski, Brian Van Essen, Jonathan E. Allen, Felice C. Lightstone:
Scalable Composition and Analysis Techniques for Massive Scientific Workflows. e-Science 2022: 32-43 - [c40]Jae-Seung Yeom, Dong H. Ahn, Ian Lumsden, Jakob Lüttgau, Silvina Caíno-Lores, Michela Taufer:
Ubique: A New Model for Untangling Inter-task Data Dependence in Complex HPC Workflows. e-Science 2022: 421-422 - [c39]Jakob Lüttgau, Silvina Caíno-Lores, Kae Suarez, Dong H. Ahn, Stephen Herbein, Michela Taufer:
Reproducing and Extending Analytical Performance Models of Generalized Hierarchical Scheduling. e-Science 2022: 450-455 - [i6]Rafael Ferreira da Silva, Kyle Chard, Henri Casanova, Dan Laney, Dong H. Ahn, Shantenu Jha, William E. Allcock, Gregory Bauer, Dmitry Duplyakin, Bjoern Enders, Todd M. Heer, Eric Lancon, Sergiu Sanielevici, Kevin Sayers:
Workflows Community Summit: Tightening the Integration between Computing Facilities and Scientific Workflows. CoRR abs/2201.07435 (2022) - 2021
- [j11]Dong H. Ahn, Allison H. Baker, Michael Bentley, Ian Briggs, Ganesh Gopalakrishnan, Dorit M. Hammerling, Ignacio Laguna, Gregory L. Lee, Daniel J. Milroy, Mariana Vertenstein:
Keeping science on keel when software moves. Commun. ACM 64(2): 66-74 (2021) - [j10]Sam Ade Jacobs, Tim Moon, Kevin McLoughlin, Derek Jones, David Hysom, Dong H. Ahn, John C. Gyllenhaal, Pythagoras Watson, Felice C. Lightstone, Jonathan E. Allen, Ian Karlin, Brian Van Essen:
Enabling rapid COVID-19 small molecule drug design through scalable deep learning of generative models. Int. J. High Perform. Comput. Appl. 35(5) (2021) - [c38]Claudia Misale, Maurizio Drocco, Daniel J. Milroy, Carlos Eduardo Arango Gutierrez, Stephen Herbein, Dong H. Ahn, Yoonho Park:
It's a Scheduling Affair: GROMACS in the Cloud with the KubeFlux Scheduler. CANOPIE-HPC@SC 2021: 10-16 - [c37]Tapasya Patki, Adam Bertsch, Ian Karlin, Dong H. Ahn, Brian Van Essen, Barry Rountree, Bronis R. de Supinski, Nathan Besaw:
Monitoring Large Scale Supercomputers: A Case Study with the Lassen Supercomputer. CLUSTER 2021: 468-480 - [c36]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. Ingólfsson:
Generalizable coordination of large multiscale workflows: challenges and learnings at scale. SC 2021: 10 - [c35]Claudia Misale, Daniel J. Milroy, Carlos Eduardo Arango Gutierrez, Maurizio Drocco, Stephen Herbein, Dong H. Ahn, Zvonko Kaiser, Yoonho Park:
Towards Standard Kubernetes Scheduling Interfaces for Converged Computing. SMC 2021: 310-326 - [c34]Aymen Al-Saadi, Dong H. Ahn, Yadu N. Babuji, Kyle Chard, James Corbett, Mihael Hategan, Stephen Herbein, Shantenu Jha, Daniel E. Laney, André Merzky, Todd S. Munson, Michael Salim, Mikhail Titov, Matteo Turilli, Thomas D. Uram, Justin M. Wozniak:
ExaWorks: Workflows for Exascale. WORKS 2021: 50-57 - [i5]Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Dan Laney, Dong H. Ahn, Shantenu Jha, Carole A. Goble, Lavanya Ramakrishnan, J. Luc Peterson, Bjoern Enders, Douglas Thain, Ilkay Altintas, Yadu N. Babuji, Rosa M. Badia, Vivien Bonazzi, Tainã Coleman, Michael R. Crusoe, Ewa Deelman, Frank Di Natale, Paolo Di Tommaso, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Alex Ganose, Björn A. Grüning, Daniel S. Katz, Olga A. Kuchar, Ana Kupresanin, Bertram Ludäscher, Ketan Maheshwari, Marta Mattoso, Kshitij Mehta, Todd S. Munson, Jonathan Ozik, Tom Peterka, Loic Pottier, Tim Randles, Stian Soiland-Reyes, Benjamín Tovar, Matteo Turilli, Thomas D. Uram, Karan Vahi, Michael Wilde, Matthew Wolf, Justin M. Wozniak:
Workflows Community Summit: Bringing the Scientific Workflows Community Together. CoRR abs/2103.09181 (2021) - [i4]Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Tainã Coleman, Dan Laney, Dong H. Ahn, Shantenu Jha, Dorran Howell, Stian Soiland-Reyes, Ilkay Altintas, Douglas Thain, Rosa Filgueira, Yadu N. Babuji, Rosa M. Badia, Bartosz Balis, Silvina Caíno-Lores, Scott Callaghan, Frederik Coppens, Michael R. Crusoe, Kaushik De, Frank Di Natale, Tu Mai Anh Do, Bjoern Enders, Thomas Fahringer, Anne Fouilloux, Grigori Fursin, Alban Gaignard, Alex Ganose, Daniel Garijo, Sandra Gesing, Carole A. Goble, Adil Hasan, Sebastiaan Huber, Daniel S. Katz, Ulf Leser, Douglas Lowe, Bertram Ludäscher, Ketan Maheshwari, Maciej Malawski, Rajiv Mayani, Kshitij Mehta, André Merzky, Todd S. Munson, Jonathan Ozik, Loïc Pottier, Sashko Ristov, Mehdi Roozmeh, Renan Souza, Frédéric Suter, Benjamín Tovar, Matteo Turilli, Karan Vahi, Alvaro Vidal-Torreira, Wendy R. Whitcup, Michael Wilde, Alan R. Williams, Matthew Wolf, Justin M. Wozniak:
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. CoRR abs/2106.05177 (2021) - [i3]Aymen Al-Saadi, Dong H. Ahn, Yadu N. Babuji, Kyle Chard, James Corbett, Mihael Hategan, Stephen Herbein, Shantenu Jha, Daniel E. Laney, André Merzky, Todd S. Munson, Michael Salim, Mikhail Titov, Matteo Turilli, Justin M. Wozniak:
ExaWorks: Workflows for Exascale. CoRR abs/2108.13521 (2021) - [i2]Daniel J. Milroy, Claudia Misale, Stephen Herbein, Dong H. Ahn:
A Dynamic, Hierarchical Resource Model for Converged Computing. CoRR abs/2109.03739 (2021) - 2020
- [j9]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) - [c33]Samuel Thayer, Ganesh Gopalakrishnan, Ian Briggs, Michael Bentley, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee:
ArcherGear: data race equivalencing for expeditious HPC debugging. PPoPP 2020: 425-426
2010 – 2019
- 2019
- [j8]Kento Sato, Ignacio Laguna, Gregory L. Lee, Martin Schulz, Christopher M. Chambreau, Simone Atzeni, Michael Bentley, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Geof Sawaya, Joachim Protze, Dong H. Ahn:
Pruners. Int. J. High Perform. Comput. Appl. 33(5) (2019) - [j7]Dylan Chapp, Danny Rorabaugh, Kento Sato, Dong H. Ahn, Michela Taufer:
A three-phase workflow for general and expressive representations of nondeterminism in HPC applications. Int. J. High Perform. Comput. Appl. 33(6) (2019) - [c32]Michael Bentley, Ian Briggs, Ganesh Gopalakrishnan, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Holger E. Jones:
Multi-Level Analysis of Compiler-Induced Variability and Performance Tradeoffs. HPDC 2019: 61-72 - 2018
- [j6]Dylan Chapp, Kento Sato, Dong H. Ahn, Michela Taufer:
Record-and-Replay Techniques for HPC Systems: A Survey. Supercomput. Front. Innov. 5(1): 11-30 (2018) - [c31]Joachim Protze, Martin Schulz, Dong H. Ahn, Matthias S. Müller:
Thread-local concurrency: a technique to handle data race detection at programming model abstraction. HPDC 2018: 144-155 - [c30]Michael R. Wyatt II, Stephen Herbein, Todd Gamblin, Adam Moody, Dong H. Ahn, Michela Taufer:
PRIONN: Predicting Runtime and IO using Neural Networks. ICPP 2018: 46:1-46:12 - [c29]Simone Atzeni, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Ignacio Laguna, Gregory L. Lee, Dong H. Ahn:
SWORD: A Bounded Memory-Overhead Detector of OpenMP Data Races in Production Runs. IPDPS 2018: 845-854 - [i1]Michael Bentley, Ian Briggs, Ganesh Gopalakrishnan, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Holger E. Jones:
Multi-level analysis of compiler induced variability and performance tradeoffs. CoRR abs/1811.05618 (2018) - 2017
- [c28]Geoffrey Sawaya, Michael Bentley, Ian Briggs, Ganesh Gopalakrishnan, Dong H. Ahn:
FLiT: Cross-platform floating-point result-consistency tester and workload. IISWC 2017: 229-238 - [c27]Joachim Protze, Jonas Hahnfeld, Dong H. Ahn, Martin Schulz, Matthias S. Müller:
OpenMP Tools Interface: Synchronization Information for Data Race Detection. IWOMP 2017: 249-265 - [c26]Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz, Christopher M. Chambreau:
Noise Injection Techniques to Expose Subtle and Unintended Message Races. PPoPP 2017: 89-101 - 2016
- [c25]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 - [c24]Simone Atzeni, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Dong H. Ahn, Ignacio Laguna, Martin Schulz, Gregory L. Lee, Joachim Protze, Matthias S. Müller:
ARCHER: Effectively Spotting Data Races in Large OpenMP Applications. IPDPS 2016: 53-62 - [c23]Joachim Protze, Dong H. Ahn, Ignacio Laguna, Martin Schulz, Matthias S. Müller:
Testing Infrastructure for OpenMP Debugging Interface Implementations. IWOMP 2016: 205-216 - 2015
- [j5]Ignacio Laguna, Dong H. Ahn, Bronis R. de Supinski, Todd Gamblin, Gregory L. Lee, Martin Schulz, Saurabh Bagchi, Milind Kulkarni, Bowen Zhou, Zhezhe Chen, Feng Qin:
Debugging high-performance computing applications at massive scales. Commun. ACM 58(9): 72-81 (2015) - [j4]Ignacio Laguna, Dong H. Ahn, Bronis R. de Supinski, Saurabh Bagchi, Todd Gamblin:
Diagnosis of Performance Faults in LargeScale MPI Applications via Probabilistic Progress-Dependence Inference. IEEE Trans. Parallel Distributed Syst. 26(5): 1280-1289 (2015) - [c22]Nicklas Bo Jensen, Niklas Quarfot Nielsen, Gregory L. Lee, Sven Karlsson, Matthew P. LeGendre, Martin Schulz, Dong H. Ahn:
A Scalable Prescriptive Parallel Debugging Model. IPDPS 2015: 473-483 - [c21]Joachim Protze, Ignacio Laguna, Dong H. Ahn, John DelSignore, Ariel Burton, Martin Schulz, Matthias S. Müller:
Lessons Learned from Implementing OMPD: A Debugging Interface for OpenMP. IWOMP 2015: 89-101 - [c20]Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz:
Clock delta compression for scalable order-replay of non-deterministic parallel applications. SC 2015: 62:1-62:12 - 2014
- [c19]Dong H. Ahn, Jim Garlick, Mark Grondona, Don Lipari, Becky Springmeyer, Martin Schulz:
Flux: A Next-Generation Resource Management Framework for Large HPC Centers. ICPP Workshops 2014: 9-17 - [c18]Subrata Mitra, Ignacio Laguna, Dong H. Ahn, Saurabh Bagchi, Martin Schulz, Todd Gamblin:
Accurate application progress analysis for large-scale parallel debugging. PLDI 2014: 193-203 - [c17]Joachim Protze, Simone Atzeni, Dong H. Ahn, Martin Schulz, Ganesh Gopalakrishnan, Matthias S. Müller, Ignacio Laguna, Zvonimir Rakamaric, Gregory L. Lee:
Towards providing low-overhead data race detection for large OpenMP applications. LLVM@SC 2014: 40-47 - 2013
- [j3]Joshua D. Goehner, Dorian C. Arnold, Dong H. Ahn, Gregory L. Lee, Bronis R. de Supinski, Matthew P. LeGendre, Barton P. Miller, Martin Schulz:
LIBI: A framework for bootstrapping extreme scale software systems. Parallel Comput. 39(3): 167-176 (2013) - [c16]Wolfgang Frings, Dong H. Ahn, Matthew P. LeGendre, Todd Gamblin, Bronis R. de Supinski, Felix Wolf:
Massively parallel loading. ICS 2013: 389-398 - [c15]Dong H. Ahn, Michael J. Brim, Bronis R. de Supinski, Todd Gamblin, Gregory L. Lee, Matthew P. LeGendre, Barton P. Miller, Adam Moody, Martin Schulz:
Efficient and Scalable Retrieval Techniques for Global File Properties. IPDPS 2013: 369-380 - [c14]Dong H. Ahn, Gregory L. Lee, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Martin Schulz, Ignacio Laguna:
Overcoming extreme-scale reproducibility challenges through a unified, targeted, and multilevel toolset. SE-HPCCSE@SC 2013: 41-44 - [c13]Joshua D. Goehner, Taylor L. Groves, Dorian C. Arnold, Dong H. Ahn, Gregory L. Lee:
An Optimal Algorithm for Extreme Scale Job Launching. TrustCom/ISPA/IUCC 2013: 1115-1122 - 2012
- [c12]Ignacio Laguna, Dong H. Ahn, Bronis R. de Supinski, Saurabh Bagchi, Todd Gamblin:
Probabilistic diagnosis of performance faults in large-scale parallel applications. PACT 2012: 213-222 - [c11]Barry Rountree, Dong H. Ahn, Bronis R. de Supinski, David K. Lowenthal, Martin Schulz:
Beyond DVFS: A First Look at Performance under a Hardware-Enforced Power Bound. IPDPS Workshops 2012: 947-953 - 2011
- [c10]Adam Moody, Dong H. Ahn, Bronis R. de Supinski:
Exascale Algorithms for Generalized MPI_Comm_split. EuroMPI 2011: 9-18 - [c9]Ignacio Laguna, Todd Gamblin, Bronis R. de Supinski, Saurabh Bagchi, Greg Bronevetsky, Dong H. Ahn, Martin Schulz, Barry Rountree:
Large scale debugging of parallel tasks with AutomaDeD. SC 2011: 50:1-50:10 - 2010
- [c8]Greg Bronevetsky, Ignacio Laguna, Saurabh Bagchi, Bronis R. de Supinski, Dong H. Ahn, Martin Schulz:
AutomaDeD: Automata-based debugging for dissimilar parallel tasks. DSN 2010: 231-240
2000 – 2009
- 2009
- [c7]Dong H. Ahn, Bronis R. de Supinski, Ignacio Laguna, Gregory L. Lee, Ben Liblit, Barton P. Miller, Martin Schulz:
Scalable temporal order analysis for large scale debugging. SC 2009 - 2008
- [c6]Dong H. Ahn, Dorian C. Arnold, Bronis R. de Supinski, Gregory L. Lee, Barton P. Miller, Martin Schulz:
Overcoming Scalability Challenges for Tool Daemon Launching. ICPP 2008: 578-585 - [c5]Gregory L. Lee, Dong H. Ahn, Dorian C. Arnold, Bronis R. de Supinski, Matthew P. LeGendre, Barton P. Miller, Martin Schulz, Ben Liblit:
Lessons learned at 208K: towards debugging millions of cores. SC 2008: 26 - 2007
- [j2]Gregory L. Lee, Martin Schulz, Dong H. Ahn, Andrew Bernat, Bronis R. de Supinski, Steven Y. Ko, Barry Rountree:
Dynamic Binary Instrumentation and Data Aggregation on Large Scale Systems. Int. J. Parallel Program. 35(3): 207-232 (2007) - [c4]Gregory L. Lee, Dong H. Ahn, Bronis R. de Supinski, John C. Gyllenhaal, Patrick Miller:
Pynamic: the Python Dynamic Benchmark. IISWC 2007: 101-106 - [c3]Dorian C. Arnold, Dong H. Ahn, Bronis R. de Supinski, Gregory L. Lee, Barton P. Miller, Martin Schulz:
Stack Trace Analysis for Large Scale Debugging. IPDPS 2007: 1-10 - [c2]Gregory L. Lee, Dong H. Ahn, Dorian C. Arnold, Bronis R. de Supinski, Barton P. Miller, Martin Schulz:
Benchmarking the Stack Trace Analysis Tool for BlueGene/L. PARCO 2007: 621-628 - 2005
- [j1]Martin Schulz, Dong H. Ahn, Andrew Bernat, Bronis R. de Supinski, Steven Y. Ko, Gregory L. Lee, Barry Rountree:
Scalable dynamic binary instrumentation for Blue Gene/L. SIGARCH Comput. Archit. News 33(5): 9-14 (2005) - 2002
- [c1]Dong H. Ahn, Jeffrey S. Vetter:
Scalable analysis techniques for microprocessor performance counter metrics. SC 2002: 12:1-12:16
Coauthor Index
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