Scalable analysis techniques for microprocessor performance counter metrics. - Dong H. Ahn; Jeffrey S. Vetter (SC, 2002)

Scalable dynamic binary instrumentation for Blue Gene/L. - Martin Schulz 001; Dong H. Ahn; Andrew Bernat 002; Bronis R. de Supinski; Steven Y. Ko; Gregory L. Lee; Barry Rountree (SIGARCH Comput. Archit. News, 2005)

Pynamic: the Python Dynamic Benchmark. - Gregory L. Lee; Dong H. Ahn; Bronis R. de Supinski; John C. Gyllenhaal; Patrick Miller (IISWC, 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 001 (IPDPS, 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 001 (PARCO, 2007)

Dynamic Binary Instrumentation and Data Aggregation on Large Scale Systems. - Gregory L. Lee; Martin Schulz 001; Dong H. Ahn; Andrew Bernat 002; Bronis R. de Supinski; Steven Y. Ko; Barry Rountree (Int. J. Parallel Program., 2007)

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 001 (ICPP, 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 001; Ben Liblit (SC, 2008)

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 001 (SC, 2009)

AutomaDeD: Automata-based debugging for dissimilar parallel tasks. - Greg Bronevetsky; Ignacio Laguna; Saurabh Bagchi; Bronis R. de Supinski; Dong H. Ahn; Martin Schulz 001 (DSN, 2010)

Exascale Algorithms for Generalized MPI_Comm_split. - Adam Moody; Dong H. Ahn; Bronis R. de Supinski (EuroMPI, 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 001; Barry Rountree (SC, 2011)

Probabilistic diagnosis of performance faults in large-scale parallel applications. - Ignacio Laguna; Dong H. Ahn; Bronis R. de Supinski; Saurabh Bagchi; Todd Gamblin (PACT, 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 001 (IPDPS Workshops, 2012)

Massively parallel loading. - Wolfgang Frings; Dong H. Ahn; Matthew P. LeGendre; Todd Gamblin; Bronis R. de Supinski; Felix Wolf 001 (ICS, 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 001 (IPDPS, 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 001; Ignacio Laguna (SE-HPCCSE@SC, 2013)

An Optimal Algorithm for Extreme Scale Job Launching. - Joshua D. Goehner; Taylor L. Groves; Dorian C. Arnold; Dong H. Ahn; Gregory L. Lee (TrustCom/ISPA/IUCC, 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 001 (Parallel Comput., 2013)

Flux: A Next-Generation Resource Management Framework for Large HPC Centers. - Dong H. Ahn; Jim Garlick; Mark Grondona; Don Lipari; Becky Springmeyer; Martin Schulz 001 (ICPP Workshops, 2014)

Accurate application progress analysis for large-scale parallel debugging. - Subrata Mitra; Ignacio Laguna; Dong H. Ahn; Saurabh Bagchi; Martin Schulz 001; Todd Gamblin (PLDI, 2014)

Towards providing low-overhead data race detection for large OpenMP applications. - Joachim Protze; Simone Atzeni; Dong H. Ahn; Martin Schulz 001; Ganesh Gopalakrishnan; Matthias S. Müller; Ignacio Laguna; Zvonimir Rakamaric; Gregory L. Lee (LLVM@SC, 2014)

A Scalable Prescriptive Parallel Debugging Model. - Nicklas Bo Jensen; Niklas Quarfot Nielsen; Gregory L. Lee; Sven Karlsson; Matthew P. LeGendre; Martin Schulz 001; Dong H. Ahn (IPDPS, 2015)

Lessons Learned from Implementing OMPD: A Debugging Interface for OpenMP. - Joachim Protze; Ignacio Laguna; Dong H. Ahn; John DelSignore; Ariel Burton; Martin Schulz 001; Matthias S. Müller (IWOMP, 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 001 (SC, 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 001; Saurabh Bagchi; Milind Kulkarni 001; Bowen Zhou 008; Zhezhe Chen; Feng Qin (Commun. ACM, 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)

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 (HPDC, 2016)

ARCHER: Effectively Spotting Data Races in Large OpenMP Applications. - Simone Atzeni; Ganesh Gopalakrishnan; Zvonimir Rakamaric; Dong H. Ahn; Ignacio Laguna; Martin Schulz 001; Gregory L. Lee; Joachim Protze; Matthias S. Müller (IPDPS, 2016)

Testing Infrastructure for OpenMP Debugging Interface Implementations. - Joachim Protze; Dong H. Ahn; Ignacio Laguna; Martin Schulz 001; Matthias S. Müller (IWOMP, 2016)

FLiT: Cross-platform floating-point result-consistency tester and workload. - Geoffrey Sawaya; Michael Bentley; Ian Briggs; Ganesh Gopalakrishnan; Dong H. Ahn (IISWC, 2017)

OpenMP Tools Interface: Synchronization Information for Data Race Detection. - Joachim Protze; Jonas Hahnfeld; Dong H. Ahn; Martin Schulz 001; Matthias S. Müller (IWOMP, 2017)

Noise Injection Techniques to Expose Subtle and Unintended Message Races. - Kento Sato; Dong H. Ahn; Ignacio Laguna; Gregory L. Lee; Martin Schulz 001; Christopher M. Chambreau (PPoPP, 2017)

Thread-local concurrency: a technique to handle data race detection at programming model abstraction. - Joachim Protze; Martin Schulz 001; Dong H. Ahn; Matthias S. Müller (HPDC, 2018)

PRIONN: Predicting Runtime and IO using Neural Networks. - Michael R. Wyatt II; Stephen Herbein; Todd Gamblin; Adam Moody; Dong H. Ahn; Michela Taufer (ICPP, 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 (IPDPS, 2018)

Record-and-Replay Techniques for HPC Systems: A Survey. - Dylan Chapp; Kento Sato; Dong H. Ahn; Michela Taufer (Supercomput. Front. Innov., 2018)

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 (HPDC, 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)

Pruners. - Kento Sato; Ignacio Laguna; Gregory L. Lee; Martin Schulz 001; 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)

ArcherGear: data race equivalencing for expeditious HPC debugging. - Samuel Thayer; Ganesh Gopalakrishnan; Ian Briggs; Michael Bentley; Dong H. Ahn; Ignacio Laguna; Gregory L. Lee (PPoPP, 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)

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 (CANOPIE-HPC@SC, 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 (CLUSTER, 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; et al. (SC, 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 (SMC, 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; et al. (WORKS, 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)

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; et al. (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; et al. (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; et al. (CoRR, 2021)

A Dynamic, Hierarchical Resource Model for Converged Computing. - Daniel J. Milroy; Claudia Misale; Stephen Herbein; Dong H. Ahn (CoRR, 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)

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 (CANOPIE-HPC@SC, 2022)

Scalable Composition and Analysis Techniques for Massive Scientific Workflows. - Dong H. Ahn; Xiaohua Zhang; Jeffrey Mast; Stephen Herbein; Francesco Di Natale; Dan Kirshner 001; Sam Ade Jacobs; Ian Karlin; Daniel J. Milroy; Bronis R. de Supinski; Brian Van Essen; Jonathan E. Allen; et al. (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 (e-Science, 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 (e-Science, 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; et al. (CoRR, 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)

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 (SC Workshops, 2023)

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 001 (CLUSTER, 2024)