Dong H. Ahn - RankMe

63 papers A* 1A 16B 9C 3Journal 19Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distributed Order Recording Techniques for Efficient Record-and-Replay of Multi-threaded Programs. CoRR Xiang Fu, Shiman Meng, Weiping Zhang, Luanzheng Guo, Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz
2024	C	`conf`	Distributed Order Recording Techniques for Efficient Record-and-Replay of Multi - Threaded Programs. CLUSTER Xiang Fu, Shiman Meng, Weiping Zhang, Luanzheng Guo, Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz
2023	—	`conf`	Fluxion: A Scalable Graph-Based Resource Model for HPC Scheduling Challenges. SC Workshops Tapasya Patki, Dong H. Ahn, Daniel Milroy, Jae-Seung Yeom, Jim Garlick, Mark Grondona, Stephen Herbein, Thomas Scogland
2022	J	`jnl`	An analytical performance model of generalized hierarchical scheduling. Int. J. High Perform. Comput. Appl. 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
2022	—	`conf`	One Step Closer to Converged Computing: Achieving Scalability with Cloud-Native HPC. CANOPIE-HPC@SC 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
2022	B	`conf`	Reproducing and Extending Analytical Performance Models of Generalized Hierarchical Scheduling. e-Science Jakob Lüttgau, Silvina Caíno-Lores, Kae Suarez, Dong H. Ahn, Stephen Herbein, Michela Taufer
2022	B	`conf`	Scalable Composition and Analysis Techniques for Massive Scientific Workflows. e-Science 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
2022	B	`conf`	Ubique: A New Model for Untangling Inter-task Data Dependence in Complex HPC Workflows. e-Science Jae-Seung Yeom, Dong H. Ahn, Ian Lumsden, Jakob Lüttgau, Silvina Caíno-Lores, Michela Taufer
2022	J	`jnl`	Workflows Community Summit: Tightening the Integration between Computing Facilities and Scientific Workflows. CoRR 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
2021	J	`jnl`	A Dynamic, Hierarchical Resource Model for Converged Computing. CoRR Daniel J. Milroy, Claudia Misale, Stephen Herbein, Dong H. Ahn
2021	J	`jnl`	Enabling rapid COVID-19 small molecule drug design through scalable deep learning of generative models. Int. J. High Perform. Comput. Appl. 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
2021	—	`conf`	ExaWorks: Workflows for Exascale. WORKS 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
2021	J	`jnl`	ExaWorks: Workflows for Exascale. CoRR 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
2021	A	`conf`	Generalizable coordination of large multiscale workflows: challenges and learnings at scale. SC 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
2021	—	`conf`	It's a Scheduling Affair: GROMACS in the Cloud with the KubeFlux Scheduler. CANOPIE-HPC@SC Claudia Misale, Maurizio Drocco, Daniel J. Milroy, Carlos Eduardo Arango Gutierrez, Stephen Herbein, Dong H. Ahn, Yoonho Park
2021	J	`jnl`	Keeping science on keel when software moves. Commun. ACM 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
2021	C	`conf`	Monitoring Large Scale Supercomputers: A Case Study with the Lassen Supercomputer. CLUSTER Tapasya Patki, Adam Bertsch, Ian Karlin, Dong H. Ahn, Brian Van Essen, Barry Rountree, Bronis R. de Supinski, Nathan Besaw
2021	B	`conf`	Towards Standard Kubernetes Scheduling Interfaces for Converged Computing. SMC Claudia Misale, Daniel J. Milroy, Carlos Eduardo Arango Gutierrez, Maurizio Drocco, Stephen Herbein, Dong H. Ahn, Zvonko Kaiser, Yoonho Park
2021	J	`jnl`	Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. CoRR 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
2021	J	`jnl`	Workflows Community Summit: Bringing the Scientific Workflows Community Together. CoRR 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
2020	B	`conf`	ArcherGear: data race equivalencing for expeditious HPC debugging. PPoPP Samuel Thayer, Ganesh Gopalakrishnan, Ian Briggs, Michael Bentley, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee
2020	J	`jnl`	Flux: Overcoming scheduling challenges for exascale workflows. Future Gener. Comput. Syst. 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
2019	J	`jnl`	A three-phase workflow for general and expressive representations of nondeterminism in HPC applications. Int. J. High Perform. Comput. Appl. Dylan Chapp, Danny Rorabaugh, Kento Sato, Dong H. Ahn, Michela Taufer
2019	A	`conf`	Multi-Level Analysis of Compiler-Induced Variability and Performance Tradeoffs. HPDC Michael Bentley, Ian Briggs, Ganesh Gopalakrishnan, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Holger E. Jones
2019	J	`jnl`	Pruners. Int. J. High Perform. Comput. Appl. 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
2018	J	`jnl`	Multi-level analysis of compiler induced variability and performance tradeoffs. CoRR Michael Bentley, Ian Briggs, Ganesh Gopalakrishnan, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Holger E. Jones
2018	B	`conf`	PRIONN: Predicting Runtime and IO using Neural Networks. ICPP Michael R. Wyatt II, Stephen Herbein, Todd Gamblin, Adam Moody, Dong H. Ahn, Michela Taufer
2018	J	`jnl`	Record-and-Replay Techniques for HPC Systems: A Survey. Supercomput. Front. Innov. Dylan Chapp, Kento Sato, Dong H. Ahn, Michela Taufer
2018	A	`conf`	SWORD: A Bounded Memory-Overhead Detector of OpenMP Data Races in Production Runs. IPDPS Simone Atzeni, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Ignacio Laguna, Gregory L. Lee, Dong H. Ahn
2018	A	`conf`	Thread-local concurrency: a technique to handle data race detection at programming model abstraction. HPDC Joachim Protze, Martin Schulz, Dong H. Ahn, Matthias S. Müller
2017	—	`conf`	FLiT: Cross-platform floating-point result-consistency tester and workload. IISWC Geoffrey Sawaya, Michael Bentley, Ian Briggs, Ganesh Gopalakrishnan, Dong H. Ahn
2017	B	`conf`	Noise Injection Techniques to Expose Subtle and Unintended Message Races. PPoPP Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz, Christopher M. Chambreau
2017	—	`conf`	OpenMP Tools Interface: Synchronization Information for Data Race Detection. IWOMP Joachim Protze, Jonas Hahnfeld, Dong H. Ahn, Martin Schulz, Matthias S. Müller
2016	A	`conf`	ARCHER: Effectively Spotting Data Races in Large OpenMP Applications. IPDPS Simone Atzeni, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Dong H. Ahn, Ignacio Laguna, Martin Schulz, Gregory L. Lee, Joachim Protze, Matthias S. Müller
2016	A	`conf`	Scalable I/O-Aware Job Scheduling for Burst Buffer Enabled HPC Clusters. HPDC Stephen Herbein, Dong H. Ahn, Don Lipari, Thomas R. W. Scogland, Marc Stearman, Mark Grondona, Jim Garlick, Becky Springmeyer, Michela Taufer
2016	—	`conf`	Testing Infrastructure for OpenMP Debugging Interface Implementations. IWOMP Joachim Protze, Dong H. Ahn, Ignacio Laguna, Martin Schulz, Matthias S. Müller
2015	A	`conf`	A Scalable Prescriptive Parallel Debugging Model. IPDPS Nicklas Bo Jensen, Niklas Quarfot Nielsen, Gregory L. Lee, Sven Karlsson, Matthew P. LeGendre, Martin Schulz, Dong H. Ahn
2015	A	`conf`	Clock delta compression for scalable order-replay of non-deterministic parallel applications. SC Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz
2015	J	`jnl`	Debugging high-performance computing applications at massive scales. Commun. ACM 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
2015	J	`jnl`	Diagnosis of Performance Faults in LargeScale MPI Applications via Probabilistic Progress-Dependence Inference. IEEE Trans. Parallel Distributed Syst. Ignacio Laguna, Dong H. Ahn, Bronis R. de Supinski, Saurabh Bagchi, Todd Gamblin
2015	—	`conf`	Lessons Learned from Implementing OMPD: A Debugging Interface for OpenMP. IWOMP Joachim Protze, Ignacio Laguna, Dong H. Ahn, John DelSignore, Ariel Burton, Martin Schulz, Matthias S. Müller
2014	A*	`conf`	Accurate application progress analysis for large-scale parallel debugging. PLDI Subrata Mitra, Ignacio Laguna, Dong H. Ahn, Saurabh Bagchi, Martin Schulz, Todd Gamblin
2014	—	`conf`	Flux: A Next-Generation Resource Management Framework for Large HPC Centers. ICPP Workshops Dong H. Ahn, Jim Garlick, Mark Grondona, Don Lipari, Becky Springmeyer, Martin Schulz
2014	—	`conf`	Towards providing low-overhead data race detection for large OpenMP applications. LLVM@SC Joachim Protze, Simone Atzeni, Dong H. Ahn, Martin Schulz, Ganesh Gopalakrishnan, Matthias S. Müller, Ignacio Laguna, Zvonimir Rakamaric, Gregory L. Lee
2013	—	`conf`	An Optimal Algorithm for Extreme Scale Job Launching. TrustCom/ISPA/IUCC Joshua D. Goehner, Taylor L. Groves, Dorian C. Arnold, Dong H. Ahn, Gregory L. Lee
2013	A	`conf`	Efficient and Scalable Retrieval Techniques for Global File Properties. IPDPS 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
2013	J	`jnl`	LIBI: A framework for bootstrapping extreme scale software systems. Parallel Comput. Joshua D. Goehner, Dorian C. Arnold, Dong H. Ahn, Gregory L. Lee, Bronis R. de Supinski, Matthew P. LeGendre, Barton P. Miller, Martin Schulz
2013	A	`conf`	Massively parallel loading. ICS Wolfgang Frings, Dong H. Ahn, Matthew P. LeGendre, Todd Gamblin, Bronis R. de Supinski, Felix Wolf
2013	—	`conf`	Overcoming extreme-scale reproducibility challenges through a unified, targeted, and multilevel toolset. SE-HPCCSE@SC Dong H. Ahn, Gregory L. Lee, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Martin Schulz, Ignacio Laguna
2012	—	`conf`	Beyond DVFS: A First Look at Performance under a Hardware-Enforced Power Bound. IPDPS Workshops Barry Rountree, Dong H. Ahn, Bronis R. de Supinski, David K. Lowenthal, Martin Schulz
2012	B	`conf`	Probabilistic diagnosis of performance faults in large-scale parallel applications. PACT Ignacio Laguna, Dong H. Ahn, Bronis R. de Supinski, Saurabh Bagchi, Todd Gamblin
2011	C	`conf`	Exascale Algorithms for Generalized MPI_Comm_split. EuroMPI Adam Moody, Dong H. Ahn, Bronis R. de Supinski
2011	A	`conf`	Large scale debugging of parallel tasks with AutomaDeD. SC Ignacio Laguna, Todd Gamblin, Bronis R. de Supinski, Saurabh Bagchi, Greg Bronevetsky, Dong H. Ahn, Martin Schulz, Barry Rountree
2010	A	`conf`	AutomaDeD: Automata-based debugging for dissimilar parallel tasks. DSN Greg Bronevetsky, Ignacio Laguna, Saurabh Bagchi, Bronis R. de Supinski, Dong H. Ahn, Martin Schulz
2009	A	`conf`	Scalable temporal order analysis for large scale debugging. SC Dong H. Ahn, Bronis R. de Supinski, Ignacio Laguna, Gregory L. Lee, Ben Liblit, Barton P. Miller, Martin Schulz
2008	A	`conf`	Lessons learned at 208K: towards debugging millions of cores. SC Gregory L. Lee, Dong H. Ahn, Dorian C. Arnold, Bronis R. de Supinski, Matthew P. LeGendre, Barton P. Miller, Martin Schulz, Ben Liblit
2008	B	`conf`	Overcoming Scalability Challenges for Tool Daemon Launching. ICPP Dong H. Ahn, Dorian C. Arnold, Bronis R. de Supinski, Gregory L. Lee, Barton P. Miller, Martin Schulz
2007	—	`conf`	Benchmarking the Stack Trace Analysis Tool for BlueGene/L. PARCO Gregory L. Lee, Dong H. Ahn, Dorian C. Arnold, Bronis R. de Supinski, Barton P. Miller, Martin Schulz
2007	J	`jnl`	Dynamic Binary Instrumentation and Data Aggregation on Large Scale Systems. Int. J. Parallel Program. Gregory L. Lee, Martin Schulz, Dong H. Ahn, Andrew Bernat, Bronis R. de Supinski, Steven Y. Ko, Barry Rountree
2007	—	`conf`	Pynamic: the Python Dynamic Benchmark. IISWC Gregory L. Lee, Dong H. Ahn, Bronis R. de Supinski, John C. Gyllenhaal, Patrick Miller
2007	A	`conf`	Stack Trace Analysis for Large Scale Debugging. IPDPS Dorian C. Arnold, Dong H. Ahn, Bronis R. de Supinski, Gregory L. Lee, Barton P. Miller, Martin Schulz
2005	J	`jnl`	Scalable dynamic binary instrumentation for Blue Gene/L. SIGARCH Comput. Archit. News Martin Schulz, Dong H. Ahn, Andrew Bernat, Bronis R. de Supinski, Steven Y. Ko, Gregory L. Lee, Barry Rountree
2002	A	`conf`	Scalable analysis techniques for microprocessor performance counter metrics. SC Dong H. Ahn, Jeffrey S. Vetter