| Beyond DVFS: A first look at performance under a hardware-enforced power bound B Rountree, DH Ahn, BR De Supinski, DK Lowenthal, M Schulz 2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012 | 238 | 2012 |
| Stack trace analysis for large scale debugging DC Arnold, DH Ahn, BR De Supinski, GL Lee, BP Miller, M Schulz 2007 IEEE International Parallel and Distributed Processing Symposium, 1-10, 2007 | 202 | 2007 |
| Scalable I/O-aware job scheduling for burst buffer enabled HPC clusters S Herbein, DH Ahn, D Lipari, TRW Scogland, M Stearman, M Grondona, ... Proceedings of the 25th ACM International Symposium on High-Performance …, 2016 | 97 | 2016 |
| ARCHER: effectively spotting data races in large OpenMP applications S Atzeni, G Gopalakrishnan, Z Rakamaric, DH Ahn, I Laguna, M Schulz, ... 2016 IEEE international parallel and distributed processing symposium (IPDPS …, 2016 | 95 | 2016 |
| Flux: A next-generation resource management framework for large HPC centers DH Ahn, J Garlick, M Grondona, D Lipari, B Springmeyer, M Schulz 2014 43rd International Conference on Parallel Processing Workshops, 9-17, 2014 | 93 | 2014 |
| Scalable analysis techniques for microprocessor performance counter metrics DH Ahn, JS Vetter SC'02: Proceedings of the 2002 ACM/IEEE Conference on Supercomputing, 3-3, 2002 | 93 | 2002 |
| Flux: Overcoming scheduling challenges for exascale workflows DH Ahn, N Bass, A Chu, J Garlick, M Grondona, S Herbein, HI Ingólfsson, ... Future Generation Computer Systems 110, 202-213, 2020 | 81 | 2020 |
| Scalable temporal order analysis for large scale debugging DH Ahn, BR De Supinski, I Laguna, GL Lee, B Liblit, BP Miller, M Schulz Proceedings of the Conference on High Performance Computing Networking …, 2009 | 75 | 2009 |
| AutomaDeD: Automata-based debugging for dissimilar parallel tasks G Bronevetsky, I Laguna, S Bagchi, BR de Supinski, DH Ahn, M Schulz 2010 IEEE/IFIP International Conference on Dependable Systems & Networks …, 2010 | 66 | 2010 |
| Lessons learned at 208k: towards debugging millions of cores GL Lee, DH Ahn, DC Arnold, BR De Supinski, M Legendre, BP Miller, ... SC'08: Proceedings of the 2008 ACM/IEEE conference on Supercomputing, 1-9, 2008 | 65 | 2008 |
| Prionn: Predicting runtime and io using neural networks MR Wyatt, S Herbein, T Gamblin, A Moody, DH Ahn, M Taufer Proceedings of the 47th International Conference on Parallel Processing, 1-12, 2018 | 55 | 2018 |
| Accurate application progress analysis for large-scale parallel debugging S Mitra, I Laguna, DH Ahn, S Bagchi, M Schulz, T Gamblin ACM SIGPLAN Notices 49 (6), 193-203, 2014 | 48 | 2014 |
| Debugging high-performance computing applications at massive scales I Laguna, DH Ahn, BR De Supinski, T Gamblin, GL Lee, M Schulz, ... Communications of the ACM 58 (9), 72-81, 2015 | 44 | 2015 |
| Massively parallel loading W Frings, DH Ahn, M LeGendre, T Gamblin, BR de Supinski, F Wolf Proceedings of the 27th international ACM conference on International …, 2013 | 39 | 2013 |
| Enabling rapid COVID-19 small molecule drug design through scalable deep learning of generative models SA Jacobs, T Moon, K McLoughlin, D Jones, D Hysom, DH Ahn, ... The International Journal of High Performance Computing Applications 35 (5 …, 2021 | 33 | 2021 |
| Probabilistic diagnosis of performance faults in large-scale parallel applications I Laguna, DH Ahn, BR De Supinski, S Bagchi, T Gamblin Proceedings of the 21st international conference on Parallel architectures …, 2012 | 33 | 2012 |
| Sword: A bounded memory-overhead detector of openmp data races in production runs S Atzeni, G Gopalakrishnan, Z Rakamaric, I Laguna, GL Lee, DH Ahn 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2018 | 32 | 2018 |
| Overcoming scalability challenges for tool daemon launching DH Ahn, DC Arnold, BR de Supinski, GL Lee, BP Miller, M Schulz 2008 37th International Conference on Parallel Processing, 578-585, 2008 | 31 | 2008 |
| Stack trace analysis for large scale applications DC Arnold, DH Ahn, BR de Supinski, G Lee, BP Miller, M Schulz 21st IEEE International Parallel & Distributed Processing Symposium (IPDPS …, 2007 | 31 | 2007 |
| Exaworks: Workflows for exascale A Al-Saadi, DH Ahn, Y Babuji, K Chard, J Corbett, M Hategan, S Herbein, ... 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 50-57, 2021 | 30 | 2021 |
