|Combining in-situ and in-transit processing to enable extreme-scale scientific analysis|
JC Bennett, H Abbasi, PT Bremer, R Grout, A Gyulassy, T Jin, S Klasky, ...
SC'12: Proceedings of the International Conference on High Performance …, 2012
|Enabling in-situ execution of coupled scientific workflow on multi-core platform|
F Zhang, C Docan, M Parashar, S Klasky, N Podhorszki, H Abbasi
2012 IEEE 26th International Parallel and Distributed Processing Symposium …, 2012
|In-situ feature-based objects tracking for large-scale scientific simulations|
F Zhang, S Lasluisa, T Jin, I Rodero, H Bui, M Parashar
2012 SC Companion: High Performance Computing, Networking Storage and …, 2012
|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, ...
Parallel and Distributed Processing Symposium (IPDPS), pp.1033,1042, 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, ...
SC'13: Proceedings of the International Conference on High Performance …, 2013
|In situ processing|
H Childs, WL Ma, H Yu, B Whitlock, J Meredith, J Favre, Klasky, ...
|Adaptive data placement for staging-based coupled scientific workflows|
Qian Sun, Tong Jin, Melissa Romanus, Hoang Bui, Fan Zhang, Hongfeng Yu ...
Proceedings of the International Conference for High Performance Computing …, 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, 2014
|Experiments with memory-to-memory coupling for end-to-end fusion simulation workflows|
C Docan, F Zhang, M Parashar, J Cummings, N Podhorszki, S Klasky
2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid …, 2010
|Leveraging deep memory hierarchies for data staging in coupled data-intensive simulation workflows|
Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Norbert Podhorszki, Scott Klasky ...
Cluster Computing (CLUSTER), 2014 IEEE International Conference on, 268-269, 2014
|In-situ feature-based objects tracking for data-intensive scientific and enterprise analytics workflows|
S Lasluisa, F Zhang, T Jin, I Rodero, H Bui, M Parashar
Cluster Computing, 1-12, 2014
|Enabling multi-physics coupled simulations within the PGAS programming framework|
F Zhang, C Docan, M Parashar, S Klasky
2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2011
|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
|A scalable messaging system for accelerating discovery from large scale scientific simulations|
T Jin, F Zhang, M Parashar, S Klasky, N Podhorszki, H Abbasi
2012 19th International Conference on High Performance Computing, 1-10, 2012
|idare: Proactive data replication mechanism for p2p vod system|
X Liao, F Zhang, H Jin, L Yu
2010 10th IEEE International Conference on Computer and Information …, 2010
|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
|Xpressspace: a programming framework for coupling partitioned global address space simulation codes|
F Zhang, C Docan, H Bui, M Parashar, S Klasky
Concurrency and Computation: Practice and Experience 26 (3), 644-661, 2014
|Programming and runtime support for enabling data-intensive coupled scientific simulation workflows|
Rutgers University-Graduate School-New Brunswick, 2015
|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, J ...
In Big Data Analytics: Challenges and Opportunities (BDAC-14) Workshop at …, 2014
|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