| Accelerating science with the NERSC burst buffer early user program W Bhimji, D Bard, M Romanus, D Paul, A Ovsyannikov, B Friesen, ... | 86 | 2016 |
| Towards a framework for monitoring and analyzing high performance computing environments using kubernetes and prometheus N Sukhija, E Bautista 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced …, 2019 | 73 | 2019 |
| Exploring data staging across deep memory hierarchies for coupled data intensive simulation workflows T Jin, F Zhang, Q Sun, H Bui, M Romanus, N Podhorszki, S Klasky, ... 2015 IEEE International Parallel and Distributed Processing Symposium, 1033-1042, 2015 | 57 | 2015 |
| Collecting, monitoring, and analyzing facility and systems data at the national energy research scientific computing center E Bautista, M Romanus, T Davis, C Whitney, T Kubaska Workshop Proceedings of the 48th International Conference on Parallel …, 2019 | 45 | 2019 |
| Adaptive data placement for staging-based coupled scientific workflows Q Sun, T Jin, M Romanus, H Bui, F Zhang, H Yu, H Kolla, S Klasky, ... Proceedings of the International Conference for High Performance Computing …, 2015 | 43 | 2015 |
| Scientific workflows at datawarp-speed: Accelerated data-intensive science using nersc's burst buffer A Ovsyannikov, M Romanus, B Van Straalen, GH Weber, D Trebotich 2016 1st Joint International Workshop on Parallel Data Storage and data …, 2016 | 37 | 2016 |
| Event management and monitoring framework for HPC environments using ServiceNow and Prometheus N Sukhija, E Bautista, O James, D Gens, S Deng, Y Lam, T Quan, B Lalli Proceedings of the 12th international conference on management of digital …, 2020 | 33 | 2020 |
| Global experiences with HPC operational data measurement, collection and analysis M Ott, W Shin, N Bourassa, T Wilde, S Ceballos, M Romanus, N Bates 2020 IEEE International Conference on Cluster Computing (CLUSTER), 499-508, 2020 | 30 | 2020 |
| In‐memory staging and data‐centric task placement for coupled scientific simulation workflows F Zhang, T Jin, Q Sun, M Romanus, H Bui, S Klasky, M Parashar Concurrency and Computation: Practice and Experience 29 (12), e4147, 2017 | 26 | 2017 |
| Characterization of the three-dimensional free energy manifold for the uracil ribonucleoside from asynchronous replica exchange simulations BK Radak, M Romanus, TS Lee, H Chen, M Huang, A Treikalis, ... Journal of Chemical Theory and Computation 11 (2), 373-377, 2015 | 23 | 2015 |
| Towards autonomic data management for staging-based coupled scientific workflows T Jin, F Zhang, Q Sun, M Romanus, H Bui, M Parashar Journal of Parallel and Distributed Computing 146, 35-51, 2020 | 17 | 2020 |
| Challenges and considerations for utilizing burst buffers in high-performance computing M Romanus, RB Ross, M Parashar arXiv preprint arXiv:1509.05492, 2015 | 14 | 2015 |
| Persistent data staging services for data intensive in-situ scientific workflows M Romanus, F Zhang, T Jin, Q Sun, H Bui, M Parashar, J Choi, ... Proceedings of the ACM International Workshop on Data-Intensive Distributed …, 2016 | 12 | 2016 |
| In-staging data placement for asynchronous coupling of task-based scientific workflows Q Sun, M Romanus, T Jin, H Yu, PT Bremer, S Petruzza, S Klasky, ... 2016 Second International Workshop on Extreme Scale Programming Models and …, 2016 | 11 | 2016 |
| A framework for flexible and scalable replica-exchange on production distributed CI BK Radak, M Romanus, E Gallicchio, TS Lee, O Weidner, NJ Deng, P He, ... Proceedings of the Conference on Extreme Science and Engineering Discovery …, 2013 | 10 | 2013 |
| Enabling distributed software-defined environments using dynamic infrastructure service composition M AbdelBaky, J Diaz-Montes, M Unuvar, M Romanus, I Rodero, ... 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2017 | 8 | 2017 |
| Prabhat,“ W Bhimji, D Bard, D Paul, M Romanus, A Ovsyannikov, B Friesen, ... Accelerating science with the NERSC Burst Buffer Early User Program,” Cray …, 2016 | 8 | 2016 |
| Big data behind big data E Bautista, C Whitney, T Davis Conquering big data with high performance computing, 163-189, 2016 | 8 | 2016 |
| The anatomy of successful ECSS projects: Lessons of supporting high-throughput high-performance ensembles on XSEDE M Romanus, PK Mantha, M McKenzie, TC Bishop, E Gallichio, A Merzky, ... Proceedings of the 1st Conference of the Extreme Science and Engineering …, 2012 | 8 | 2012 |
| TGE: Machine learning based task graph embedding for large-scale topology mapping JY Choi, J Logan, M Wolf, G Ostrouchov, T Kurc, Q Liu, N Podhorszki, ... 2017 IEEE International Conference on Cluster Computing (CLUSTER), 587-591, 2017 | 6 | 2017 |
