| 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 | 100 | 2016 |
| 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 | 88 | 2020 |
| Machine learning predictions of runtime and IO traffic on high-end clusters R McKenna, S Herbein, A Moody, T Gamblin, M Taufer 2016 IEEE International Conference on Cluster Computing (CLUSTER), 255-258, 2016 | 63 | 2016 |
| 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 | 57 | 2018 |
| A two-tiered approach to I/O quality of service in docker containers S McDaniel, S Herbein, M Taufer 2015 IEEE International Conference on Cluster Computing, 490-491, 2015 | 41 | 2015 |
| Resource management for running hpc applications in container clouds S Herbein, A Dusia, A Landwehr, S McDaniel, J Monsalve, Y Yang, ... High Performance Computing: 31st International Conference, ISC High …, 2016 | 39 | 2016 |
| Evaluation of an interference-free node allocation policy on fat-tree clusters SD Pollard, N Jain, S Herbein, A Bhatele SC18: International Conference for High Performance Computing, Networking …, 2018 | 36 | 2018 |
| Generalizable coordination of large multiscale workflows: challenges and learnings at scale H Bhatia, F Di Natale, JY Moon, X Zhang, JR Chavez, F Aydin, C Stanley, ... Proceedings of the International Conference for High Performance Computing …, 2021 | 33 | 2021 |
| 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 | 32 | 2021 |
| It's a Scheduling Affair: GROMACS in the Cloud with the KubeFlux Scheduler C Misale, M Drocco, DJ Milroy, CEA Gutierrez, S Herbein, DH Ahn, Y Park 2021 3rd International Workshop on Containers and New Orchestration …, 2021 | 20 | 2021 |
| Towards standard Kubernetes scheduling interfaces for converged computing C Misale, DJ Milroy, CEA Gutierrez, M Drocco, S Herbein, DH Ahn, ... Smoky Mountains Computational Sciences and Engineering Conference, 310-326, 2021 | 17 | 2021 |
| AI4IO: A suite of AI-based tools for IO-aware scheduling MR Wyatt, S Herbein, T Gamblin, M Taufer The International Journal of High Performance Computing Applications 36 (3 …, 2022 | 10 | 2022 |
| Using surrogate-based modeling to predict optimal I/O parameters of applications at the extreme scale M Matheny, S Herbein, N Podhorszki, S Klasky, M Taufer 2014 20th IEEE International Conference on Parallel and Distributed Systems …, 2014 | 9 | 2014 |
| Canario: Sounding the alarm on io-related performance degradation MR Wyatt, S Herbein, K Shoga, T Gamblin, M Taufer 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020 | 8 | 2020 |
| Performance impact of I/O on QMCPack simulations at the petascale and beyond S Herbein, M Matheny, M Wezowicz, J Krogel, J Logan, J Kim, S Klasky, ... 2013 IEEE 16th International Conference on Computational Science and …, 2013 | 7 | 2013 |
| Scalable composition and analysis techniques for massive scientific workflows DH Ahn, X Zhang, J Mast, S Herbein, F Di Natale, D Kirshner, SA Jacobs, ... 2022 IEEE 18th International Conference on e-Science (e-Science), 32-43, 2022 | 6 | 2022 |
| Fluxion: A scalable graph-based resource model for HPC scheduling challenges T Patki, D Ahn, D Milroy, JS Yeom, J Garlick, M Grondona, S Herbein, ... Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | 4 | 2023 |
| Unstructured Data Analytics for Next-generation HPC Schedulers: Capturing Jobs' Needs from Unstructured Job Scripts M Wyatt, S Herbein, D Ahn, A Moody, T Gamblin, M Taufer Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2017 | 4 | 2017 |
| A portable, high-level graph analytics framework targeting distributed, heterogeneous systems R Searles, S Herbein, S Chandrasekaran 2016 Third Workshop on Accelerator Programming Using Directives (WACCPD), 79-88, 2016 | 4 | 2016 |
| Creating a portable, high-level graph analytics paradigm for compute and data-intensive applications R Searles, S Herbein, T Johnston, M Taufer, S Chandrasekaran International Journal of High Performance Computing and Networking 13 (1 …, 2019 | 3 | 2019 |
Michela TauferJack Dongarra Professor in High Performance Computing, The University of TennesseeBestätigte E-Mail-Adresse bei acm.org
