Dong H. Ahn

According to our database, Dong H. Ahn authored at least 60 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

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

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022

An analytical performance model of generalized hierarchical scheduling.

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

Int. J. High Perform. Comput. Appl., 2022

Workflows Community Summit: Tightening the Integration between Computing Facilities and Scientific Workflows.

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

CoRR, 2022

Ubique: A New Model for Untangling Inter-task Data Dependence in Complex HPC Workflows.

Jae-Seung Yeom, Dong H. Ahn, Ian Lumsden, Jakob Lüttgau, Silvina Caíno-Lores, Michela Taufer

Proceedings of the 18th IEEE International Conference on e-Science, 2022

Reproducing and Extending Analytical Performance Models of Generalized Hierarchical Scheduling.

Jakob Lüttgau, Silvina Caíno-Lores, Kae Suarez, Dong H. Ahn, Stephen Herbein, Michela Taufer

Proceedings of the 18th IEEE International Conference on e-Science, 2022

Scalable Composition and Analysis Techniques for Massive Scientific Workflows.

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

Proceedings of the 18th IEEE International Conference on e-Science, 2022

One Step Closer to Converged Computing: Achieving Scalability with Cloud-Native HPC.

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

Proceedings of the 4th IEEE/ACM International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC, 2022

2021

Enabling rapid COVID-19 small molecule drug design through scalable deep learning of generative models.

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

Int. J. High Perform. Comput. Appl., 2021

A Dynamic, Hierarchical Resource Model for Converged Computing.

Daniel J. Milroy, Claudia Misale, Stephen Herbein, Dong H. Ahn

CoRR, 2021

ExaWorks: Workflows for Exascale.

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

CoRR, 2021

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development.

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

CoRR, 2021

Workflows Community Summit: Bringing the Scientific Workflows Community Together.

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

CoRR, 2021

Keeping science on keel when software moves.

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

Commun. ACM, 2021

ExaWorks: Workflows for Exascale.

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

Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

Towards Standard Kubernetes Scheduling Interfaces for Converged Computing.

Claudia Misale, Daniel J. Milroy, Carlos Eduardo Arango Gutierrez, Maurizio Drocco, Stephen Herbein, Dong H. Ahn, Zvonko Kaiser, Yoonho Park

Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

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. Ingólfsson

Proceedings of the International Conference for High Performance Computing, 2021

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

Proceedings of the IEEE International Conference on Cluster Computing, 2021

It's a Scheduling Affair: GROMACS in the Cloud with the KubeFlux Scheduler.

Claudia Misale, Maurizio Drocco, Daniel J. Milroy, Carlos Eduardo Arango Gutierrez, Stephen Herbein, Dong H. Ahn, Yoonho Park

Proceedings of the 3rd International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC, 2021

2020

Flux: Overcoming scheduling challenges for exascale workflows.

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

Future Gener. Comput. Syst., 2020

ArcherGear: data race equivalencing for expeditious HPC debugging.

Samuel Thayer, Ganesh Gopalakrishnan, Ian Briggs, Michael Bentley, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee

Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020

2019

Pruners.

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

Int. J. High Perform. Comput. Appl., 2019

A three-phase workflow for general and expressive representations of nondeterminism in HPC applications.

Dylan Chapp, Danny Rorabaugh, Kento Sato, Dong H. Ahn, Michela Taufer

Int. J. High Perform. Comput. Appl., 2019

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

Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019

2018

Record-and-Replay Techniques for HPC Systems: A Survey.

Dylan Chapp, Kento Sato, Dong H. Ahn, Michela Taufer

Supercomput. Front. Innov., 2018

SWORD: A Bounded Memory-Overhead Detector of OpenMP Data Races in Production Runs.

Simone Atzeni, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Ignacio Laguna, Gregory L. Lee, Dong H. Ahn

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

PRIONN: Predicting Runtime and IO using Neural Networks.

Michael R. Wyatt II, Stephen Herbein, Todd Gamblin, Adam Moody, Dong H. Ahn, Michela Taufer

Proceedings of the 47th International Conference on Parallel Processing, 2018

Thread-local concurrency: a technique to handle data race detection at programming model abstraction.

Joachim Protze, Martin Schulz, Dong H. Ahn, Matthias S. Müller

Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 2018

2017

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

Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2017

OpenMP Tools Interface: Synchronization Information for Data Race Detection.

Joachim Protze, Jonas Hahnfeld, Dong H. Ahn, Martin Schulz, Matthias S. Müller

Proceedings of the Scaling OpenMP for Exascale Performance and Portability, 2017

FLiT: Cross-platform floating-point result-consistency tester and workload.

Geoffrey Sawaya, Michael Bentley, Ian Briggs, Ganesh Gopalakrishnan, Dong H. Ahn

Proceedings of the 2017 IEEE International Symposium on Workload Characterization, 2017

2016

Testing Infrastructure for OpenMP Debugging Interface Implementations.

Joachim Protze, Dong H. Ahn, Ignacio Laguna, Martin Schulz, Matthias S. Müller

Proceedings of the OpenMP: Memory, Devices, and Tasks, 2016

ARCHER: Effectively Spotting Data Races in Large OpenMP Applications.

Simone Atzeni, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Dong H. Ahn, Ignacio Laguna, Martin Schulz, Gregory L. Lee, Joachim Protze, Matthias S. Müller

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

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

Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, 2016

2015

Diagnosis of Performance Faults in LargeScale MPI Applications via Probabilistic Progress-Dependence Inference.

Ignacio Laguna, Dong H. Ahn, Bronis R. de Supinski, Saurabh Bagchi, Todd Gamblin

IEEE Trans. Parallel Distributed Syst., 2015

Debugging high-performance computing applications at massive scales.

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

Commun. ACM, 2015

Clock delta compression for scalable order-replay of non-deterministic parallel applications.

Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz

Proceedings of the International Conference for High Performance Computing, 2015

Lessons Learned from Implementing OMPD: A Debugging Interface for OpenMP.

Joachim Protze, Ignacio Laguna, Dong H. Ahn, John DelSignore, Ariel Burton, Martin Schulz, Matthias S. Müller

Proceedings of the OpenMP: Heterogenous Execution and Data Movements, 2015

A Scalable Prescriptive Parallel Debugging Model.

Nicklas Bo Jensen, Niklas Quarfot Nielsen, Gregory L. Lee, Sven Karlsson, Matthew P. LeGendre, Martin Schulz, Dong H. Ahn

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

2014

Towards providing low-overhead data race detection for large OpenMP applications.

Joachim Protze, Simone Atzeni, Dong H. Ahn, Martin Schulz, Ganesh Gopalakrishnan, Matthias S. Müller, Ignacio Laguna, Zvonimir Rakamaric, Gregory L. Lee

Proceedings of the 2014 LLVM Compiler Infrastructure in HPC, 2014

Accurate application progress analysis for large-scale parallel debugging.

Subrata Mitra, Ignacio Laguna, Dong H. Ahn, Saurabh Bagchi, Martin Schulz, Todd Gamblin

Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation, 2014

Flux: A Next-Generation Resource Management Framework for Large HPC Centers.

Dong H. Ahn, Jim Garlick, Mark Grondona, Don Lipari, Becky Springmeyer, Martin Schulz

Proceedings of the 43rd International Conference on Parallel Processing Workshops, 2014

2013

LIBI: A framework for bootstrapping extreme scale software systems.

Joshua D. Goehner, Dorian C. Arnold, Dong H. Ahn, Gregory L. Lee, Bronis R. de Supinski, Matthew P. LeGendre, Barton P. Miller, Martin Schulz

Parallel Comput., 2013

An Optimal Algorithm for Extreme Scale Job Launching.

Joshua D. Goehner, Taylor L. Groves, Dorian C. Arnold, Dong H. Ahn, Gregory L. Lee

Proceedings of the 12th IEEE International Conference on Trust, 2013

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

Proceedings of the 1st International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering, 2013

Efficient and Scalable Retrieval Techniques for Global File Properties.

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

Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

Massively parallel loading.

Wolfgang Frings, Dong H. Ahn, Matthew P. LeGendre, Todd Gamblin, Bronis R. de Supinski, Felix Wolf

Proceedings of the International Conference on Supercomputing, 2013

2012

Beyond DVFS: A First Look at Performance under a Hardware-Enforced Power Bound.

Barry Rountree, Dong H. Ahn, Bronis R. de Supinski, David K. Lowenthal, Martin Schulz

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

Probabilistic diagnosis of performance faults in large-scale parallel applications.

Ignacio Laguna, Dong H. Ahn, Bronis R. de Supinski, Saurabh Bagchi, Todd Gamblin

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2012

2011

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

Proceedings of the Conference on High Performance Computing Networking, 2011

Exascale Algorithms for Generalized MPI_Comm_split.

Adam Moody, Dong H. Ahn, Bronis R. de Supinski

Proceedings of the Recent Advances in the Message Passing Interface, 2011

2010

AutomaDeD: Automata-based debugging for dissimilar parallel tasks.

Greg Bronevetsky, Ignacio Laguna, Saurabh Bagchi, Bronis R. de Supinski, Dong H. Ahn, Martin Schulz

Proceedings of the 2010 IEEE/IFIP International Conference on Dependable Systems and Networks, 2010

2009

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

Proceedings of the ACM/IEEE Conference on High Performance Computing, 2009

2008

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

Proceedings of the ACM/IEEE Conference on High Performance Computing, 2008

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

Proceedings of the 2008 International Conference on Parallel Processing, 2008

2007

Dynamic Binary Instrumentation and Data Aggregation on Large Scale Systems.

Gregory L. Lee, Martin Schulz, Dong H. Ahn, Andrew Bernat, Bronis R. de Supinski, Steven Y. Ko, Barry Rountree

Int. J. Parallel Program., 2007

Benchmarking the Stack Trace Analysis Tool for BlueGene/L.

Gregory L. Lee, Dong H. Ahn, Dorian C. Arnold, Bronis R. de Supinski, Barton P. Miller, Martin Schulz

Proceedings of the Parallel Computing: Architectures, 2007

Stack Trace Analysis for Large Scale Debugging.

Dorian C. Arnold, Dong H. Ahn, Bronis R. de Supinski, Gregory L. Lee, Barton P. Miller, Martin Schulz

Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

Pynamic: the Python Dynamic Benchmark.

Gregory L. Lee, Dong H. Ahn, Bronis R. de Supinski, John C. Gyllenhaal, Patrick Miller

Proceedings of the IEEE 10th International Symposium on Workload Characterization, 2007

2005

Scalable dynamic binary instrumentation for Blue Gene/L.

Martin Schulz, Dong H. Ahn, Andrew Bernat, Bronis R. de Supinski, Steven Y. Ko, Gregory L. Lee, Barry Rountree

SIGARCH Comput. Archit. News, 2005

2002

Scalable analysis techniques for microprocessor performance counter metrics.

Dong H. Ahn, Jeffrey S. Vetter

Proceedings of the 2002 ACM/IEEE conference on Supercomputing, 2002