Melissa Romanus
Melissa Romanus
Other namesMelissa Abdelbaky
PhD Student, Rutgers University | Data Management Engineer, Lawrence Berkeley National Laboratory
Verified email at
Cited by
Cited by
Accelerating science with the NERSC burst buffer early user program
W Bhimji, D Bard, M Romanus, D Paul, A Ovsyannikov, B Friesen, ...
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
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
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
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
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
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
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
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
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
Challenges and considerations for utilizing burst buffers in high-performance computing
M Romanus, RB Ross, M Parashar
arXiv preprint arXiv:1509.05492, 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
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
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
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
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
W Bhimji, D Bard, D Paul, M Romanus, A Ovsyannikov, B Friesen, ...
Accelerating science with the NERSC Burst Buffer Early User Program,” Cray …, 2016
Big data behind big data
E Bautista, C Whitney, T Davis
Conquering big data with high performance computing, 163-189, 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
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
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