| 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 | 52 | 2015 |
| Using cross-layer adaptations for dynamic data management in large scale coupled scientific workflows T Jin, F Zhang, Q Sun, H Bui, M Parashar, H Yu, S Klasky, N Podhorszki, ... Proceedings of the International Conference on High Performance Computing …, 2013 | 45 | 2013 |
| 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 | 40 | 2015 |
| Activespaces: Exploring dynamic code deployment for extreme scale data processing C Docan, F Zhang, T Jin, H Bui, Q Sun, J Cummings, N Podhorszki, ... Concurrency and Computation: practice and Experience 27 (14), 3724-3745, 2015 | 26 | 2015 |
| 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 | 24 | 2017 |
| 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 | 13 | 2020 |
| Poster: Leveraging deep memory hierarchies for data staging in coupled data-intensive simulation workflows T Jin, F Zhang, Q Sun, H Bui, N Podhorszki, S Klasky, H Kolla, J Chen, ... 2014 IEEE International Conference on Cluster Computing (CLUSTER), 268-269, 2014 | 13 | 2014 |
| 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 |
| 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 |
| Scalable run-time data indexing and querying for scientific simulations Q Sun, F Zhang, T Jin, H Bui, K Wu, A Shoshani, H Kolla, S Klasky, ... Big Data Analytics: Challenges and Opportunities (BDAC-14) Workshop at …, 2014 | 1 | 2014 |
| Adaptive Data Placement in Multi-Tiered Data Staging Runtime T Jin, Q Sun, M Romanus, M Parashar New Frontiers in High Performance Computing and Big Data, 175-196, 2017 | | 2017 |
| Staging-Based Data Management for Extreme Scale Coupled Scientific Workflows Q Sun Rutgers The State University of New Jersey, School of Graduate Studies, 2017 | | 2017 |
