List of publications

  1. Qian Sun, Tong Jin, Melissa Romanus, Hoang Bui, Fan Zhang, Hongfeng Yu, Hemanth Kolla, Scott Klasky, Jacqueline Chen, Manish Parashar, “Adaptive Data Placement For Staging-based Coupled Scientific Workflows”, In Proc. of ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC'15), November 2015.
  2. Melissa Romanus, Manish Parashar, and Robert B. Ross. “Challenges and Considerations for Utilizing Burst Buffers in High-Performance Computing.” arXiv preprint arXiv:1509.05492 (2015).
  3. Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Melissa Romanus, Norbert Podhorszki, Scott Klasky, Heman Kolla, Jackie Chen, Robert Hager, C.S. Chang, Manish Parashar, “Exploring Data Staging Across Deep Memory Hierarchies for Coupled Data Intensive Simulation Workflows”, In Proc. of the 29th IEEE International Parallel and Distributed Processing Symposium (IPDPS'15) , Hyderabad, India, May 2015.
  4. Ciprian Docan, Fan Zhang, Tong Jin, Hoang Bui, Qian Sun, Julian Cummings, Norbert Podhorszki, Scott Klasky, Manish Parashar, “ActiveSpaces: Exploring dynamic code deployment for extreme scale data processing”, In Concurrency and Computation: Practice and Experience 2014 , CCPE November 2014.
  5. Qian Sun, Fan Zhang, Tong Jin, Hoang Bui, Kesheng Wu, Arie Shoshani, Hemanth Kolla, Scott Klasky, Jacqueline Chen, Manish Parashar, “Scalable Run-time Data Indexing and Querying for Scientific Simulations”, In Big Data Analytics: Challenges and Opportunities (BDAC-14) Workshop at Supercomputing Conference , New Orleans, Louisiana, U.S.A., November, 2014.
  6. Solomon Lasluisa, Fan Zhang, Tong Jin, Ivan Rodero, Hoang Bui, Manish Parashar, “In-situ feature-based objects tracking for data-intensive scientific and enterprise analytics workflows”, In Cluster Computing , September 2014.
  7. Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Norbert Podhorszki, Scott Klasky, Heman Kolla, Jackie Chen, Robert Hager, C.S. Chang, Manish Parashar, “Leveraging Deep Memory Hierarchies for Data Staging in Coupled Data Intensive Simulation Workflows”, In IEEE Cluster 2014 , Madrid, Spain, September, 2014.
  8. T. Jin, F. Zhang, Q. Sun, H. Bui, M. Parashar, H. Yu, S. Klasky, N. Podhorszki, H. Abbasi, “Using Cross-Layer Adaptations for Dynamic Data Management in Large Scale Coupled Scientific Workflows”, In ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) , Denver, Colorado, U.S.A., November, 2013.
  9. F. Zhang, C. Docan, H. Bui, M. Parashar, S. Klasky, “ XpressSpace: A Programming Framework for Coupling PGAS Simulation Codes ”, Concurrency and Computation: Practice and Experience, 2013.
  10. F. Zhang, S. Lasluisa, T. Jin, I. Rodero, H. Bui, M. Parashar, “In-situ Feature-based Objects Tracking for Large-Scale Scientific Simulations”, In International Workshop on Data-Intensive Scalable Computing Systems (DISCS) in conjunction with the 2012 ACM/IEEE Supercomputing Conference (SC'12), November 2012, Salt Lake City, UT, USA
  11. J. C. Bennett, H. Abbasi, P. Bremer, R. W. Grout, A. Gyulassy, T. Jin, S. Klasky, H. Kolla, M. Parashar, V. Pascucci, P. Pbay, D. Thompson, H. Yu, F. Zhang, J. Chen, “Combining In-Situ and In-Transit Processing to Enable Extreme-Scale Scientific Analysis”, In ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis (SC) , Salt Lake City, Utah, U.S.A., November, 2012.
  12. T. Jin, F. Zhang, M. Parashar, S. Klasky, N. Podhorszki, H. Abbasi, “A Scalable Messaging System for Accelerating Discovery from Large Scale Scientific Simulations”, In IEEE International Conference on High Performance Computing (HiPC) , December, 2012.
  13. F. Zhang, C. Docan, M. Parashar, S. Klasky, N. Podhorszki and H. Abbasi, “Enabling In-situ Execution of Coupled Scientific Workflow on Multi-core Platform”, 26th IEEE International Parallel and Distributed Processing Symposium (IPDPS'12) , Shanghai, China, May 2012.
  14. F. Zhang, C. Docan, M. Parashar and S. Kalasky, “Enabling Multi-Physics Coupled Simulations within the PGAS Programming Framework”, 11th IEEE/ACM International Symposium On Cluster, Cloud and Grid Computing (CCGrid'11), Newport Beach, California, May 2011.
  15. C. Docan, M. Parashar, J. Cummings and S. Klasky, “Moving the Code to the Data -- Dynamic Code Deployment using ActiveSpaces”, 25th IEEE International Parallel and Distributed Processing Symposium (IPDPS'11), Anchorage, Alaska, May 2011.
  16. F. Zhang, C. Docan, M. Parashar and S. Kalasky, “DADS: A Dynamic and Adaptive Data Space for Interacting Parallel Applications”, 22nd International Conference On Parallel and Distributed Computing and Systems (PDCS'10), Marina del Rey, California, November 2010.
  17. C. Docan, M. Parashar and S. Klasky, “DataSpaces: An Interaction and Coordination Framework for Coupled Simulation Workflows”, 19th ACM International Symposium on High Performance and Distributed Computing (HPDC'10), Chicago, Illinois, June 2010.
  18. C. Docan, F. Zhang, M. Parashar, J. Cummings, N. Podhorszki and S. Klasky, “Experiments with Memory-to-Memory Coupling for End-to-End Fusion Simulation Workflows”, 10th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid'10), Melbourne, Australia, May 2010.
  19. F. Zheng, H. Abbasi, C. Docan, J. Lofstead, S. Klasky, Q. Liu, M. Parashar, N. Podhorszki, K. Schwan and M. Wolf, “PreDatA - Preparatory Data Analytics on Peta-Scale Machines”, 24th IEEE International Parallel and Distributed Processing Symposium (IPDPS'10), Atlanta, Georgia, April 2010.
  20. J. Cummings, A. Sim, A. Shoshani, J. Lofstead, K. Schwan, C. Docan, M. Parashar, S. Klasky, N. Podhorszki and R. Barreto, “EFFIS: an End-to-end Framework for Fusion Integrated Simulation.”, 18th Euromicro International Conference on Parallel, Distributed and Network-Based Computing (PDP'10), Pisa, Italy, February 2010.
  21. N. Podhorszki, S. Klasky, Q. Liu, C. Docan, M. Parashar, H. Abbasi, J. F. Lofstead, K. Schwan, M. Wolf, F. Zheng and J. C. Cummings “Plasma Fusion Code Coupling using Scalable I/O Services and Scientific Workflows”, 4th Workshop on Workflows in Support of Large-Scale Science (WORKS'09), Portland, Oregon, November 2009.
  22. C. Docan, M. Parashar and S. Klasky, “Enabling High Speed Asynchronous Data Extraction and Transfer Using DART”, Concurrency and Computation: Practice and Experience, 22(9):1181-1204, 2010.
  23. C. Docan, S. Klasky, and M. Parashar. “Enabling High Speed Asynchronous Data Extraction and Transfer Using DART”, 17th ACM International Symposium on High Performance and Distributed Computing (HPDC'08), Boston, Massachussets, June 2008.
  24. C. Docan, S. Klasky, and M. Parashar. “High Speed Asynchronous Data Transfers on the Cray XT3”, Technical Report TR-284, May 2007.
  25. V. Bhat, M. Parashar, H. Liu, M. Khandekar, N. Kandasamy, S. Klasky, and S. Abdelwahed, “An Self-Managing Wide-Area Data Streaming Service”, Cluster Computing: The Journal of Networks, Software Tools, and Applications, Special Issue on Autonomic Computing, 10(7):365-383, 2007.
  26. V. Bhat, M. Parashar, and S. Klasky, “Experiments with In-Transit Processing for Data Intensive Grid workflows”, 8th IEEE International Conference on Grid Computing, Texas, Austin, September, 2007.
  27. V. Bhat, M. Parashar, M. Khandekar, N. Kandasamy, and S. Abdelwahed, “Enabling Self-Managing Applications using Model-based Online Control Strategies” 3rd IEEE International Conference on Autonomic Computing, Dublin, Ireland, June 2006.

Recent News

June 2017: DataSpaces 1.6.2 Release!

DataSpaces 1.6.2 has been released with support for Cray Dynamic RDMA credentials (NERSC Cori) and improved support for the IBM XL compiler, among other bug fixes. It is available in the Download section.

January 2017: DataSpaces Team Adds Full-Time Developer

We are excited to announce the addition of full-time developer, Philip Davis, to the DataSpaces team.

November 2016: DataSpaces student, Qian Sun, wins best paper award at ESPM16.

Qian Sun was awarded the best paper award at the Second International Workshop on Extreme Scale Programming Models and Middleware (ESPM2) at SC16 for her paper e ntitled, "In-staging data placement for asynchronous coupling of task-based scientific workflows."

June 2016: DataSpaces 1.6.1 Release!

Dataspaces 1.6.1 has been released with new network support and various bug fixes. It is available in the Download section.

July 2015: DataSpaces tutorial at XSEDE'15!

We give a DataSpaces tutorial at XSEDE'15 conference at St. Louis, MO in July 2015. The slides are available here (part1,part2)

July 2015: DataSpaces 1.6.0 Release!

Dataspaces 1.6.0 has been released with new features and various bug fixes. It is available in the Download section.

This work is supported by the National Science Foundation and the Deparment of Energy.