Tong Jin
Title
Cited by
Cited by
Year
Parknet: drive-by sensing of road-side parking statistics
S Mathur, T Jin, N Kasturirangan, J Chandrasekaran, W Xue, M Gruteser, ...
Proceedings of the 8th international conference on Mobile systems …, 2010
4382010
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
2122012
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
382012
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
322013
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 & Distributed Processing (IPDPS), 2015 IEEE International Symposium on, 2015
282015
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
232015
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
172014
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, ...
Cluster Computing (CLUSTER), 2014 IEEE International Conference on, 268-269, 2014
11*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, 2014
112014
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
82012
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
72017
Persistent Data Staging Services for Data Intensive In-Situ Scientific Workflows.
M Romanus, F Zhang, T Jin, Q Sun, H Bui, I Rodero, J Choi, S Janhunen, ...
The 7th International Workshop on Data-intensive Distributed Computing (DIDC …, 2016
72016
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
52016
Application of large scale PIV in river surface turbulence measurements and water depth estimation
T Jin, Q Liao
Flow Measurement and Instrumentation 67, 142-152, 2019
32019
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). In Cooperation …, 2014
12014
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, 2020
2020
Autonomic data management for extreme scale coupled scientific workflows
T Jin
Rutgers University-Graduate School-New Brunswick, 2016
2016
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Articles 1–17