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Filters: Author is Tong Jin  [Clear All Filters]
2015
T. Jin, Sun, Q., Bui, H., Romanus, M., Podhorszki, N., Klasy, S., Kolla, H., Chen, J., Hager, R., Chang, C. - S., and Parashar, M., “Exploring Data Staging Across Deep Memory Hierarchies for Coupled Data Intensive Simulation Workflows”, Proceedings of the 29th IEEE International Parallel & Distributed Processing Symposium. Hyderabad, India, 2015.
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2014
T. Jin, Zhang, F., Sun, Q., Bui, H., Podhorszki, N., Klasky, S., Kolla, H., Chen, J., Hager, R., Chang, C. - S., and Parashar, M., “Leveraging Deep Memory Hierarchies for Data Staging in Coupled Data-Intensive Simulation Workflows”. 2014.
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PDF icon 3. POSTER Leveraging Deep Memory Hierarchies for Data Staging in Coupled Data Intensive Simulation Workflows.pdf (174.46 KB)
Q. Sun, Jin, T., Zhang, F., Bui, H., Wu, K., Shoshani, A., Kolla, H., Klasky, S., Chen, J., and Parashar, M., “Scalable Run-time Data Indexing and Querying for Scientific Simulations”, Proceedings of the Fifth International Workshop on Big Data Analytics: Challenges, and Opportunities & SC’14, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis. 2014.
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2013
T. Jin, Zhang, F., Sun, Q., Bui, H., Parashar, M., Yu, H., Klasky, S., Podhorszki, N., and Abbasi, H., “Using Cross-Layer Adaptations for Dynamic Data Management in Large Scale Coupled Scientific Workflows”, Proceedings of SC’13, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis. AC/IEEE, Denver, CO, 2013.
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PDF icon 18. Using Cross-Layer Adaptations for Dynamic Data Management in Large Scale Coupled Scientific Workflows.pdf (876.53 KB)
2012
J. C. Bennett, Abbasi, H., Bremer, P. - T., Grout, R., Gyulass, A., Jin, T., Klasky, S., Kolla, H., Parashar, M., Pascucci, V., Pebay, P., Thompson, D., Yu, H., Zhang, F., and Chen, J., “Combining In-situ and In-transit Processing to Enable Extreme-Scale Scientific Analysis”, Proceedings of SC’12, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis. ACM/IEEE, Salt Lake City, Utah, 2012.
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PDF icon 24. Combining In-situ and In-transit Processing to Enable Extreme-Scale Scientific Analysis.pdf (2.37 MB)
F. Zhang, Lasluisa, S., Jin, T., Rodero, I., Bui, H., and Parashar, M., “In-situ Feature-based Objects Tracking for Large-Scale Scientific Simulations”, Proceedings 2012 International Workshop on Data-Intensive Scalable Computing Systems (DISCS-2012) & SC’12, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis. ACM/IEEE, Salt Lake City, Utah, 2012.
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PDF icon 25. In-situ Feature-based Objects Tracking for Large-Scale Scientific Simulations.pdf (488.53 KB)
T. Jin, Zhang, F., Parashar, M., Klasky, S., Podhorszki, N., and Abbasi, H., “A Scalable Messaging System for Accelerating Discovery from Large Scale Scientific Simulations”, Proceedings of 19th Annual International Conference on High Performance Computing (HiPC 2012). IEEE , Pune, India, 2012.
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PDF icon 23 A Scalable Messaging System for Accelerating Discovery from Large Scale Scientific Simulations.pdf (633.71 KB)

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