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Workshop Paper
S. Klasky, B. Ludaescher, and M. Parashar, “The Center for Plasma Edge Simulation Workflow Requirements”, Proceedings of IEEE Workshop on Workflow and Data Flow for Scientific Applications (SciFlow 2006), in conjunction with The 22nd International Conference on Data Engineering (ICDE 2006). p. 73, 2006.
Technical Report
M. Parashar, M. W. Choptuik, and S. Klasky, “Parallel Multigrid on Adaptive Mesh Refinement Hierarchies”, Center for Relativity, University of Texas at Austin. p. 31, 1995.
C. Docan, M. Parashar, and S. Klasky, “High Speed Asynchronous Data Transfers on the Cray XT3”, Center for Advanced Information Processing, Rutgers University. 2007.
Miscellaneous
S. Klasky et al., “Data management on the fusion computational pipeline”, Journal of Physics: Conference Series 16. pp. 510-520, 2005.
Conference Proceedings
V. Bhat, M. Parashar, M. Khandekar, N. Kandasamy, and S. Klasky, “A Self-Managing Wide-Area Data Streaming Service using Model-based Online Control”, Proceedings of the 7th IEEE International Conference on Grid Computing (Grid 2006). IEEE Computer Society Press, pp. 176-183, 2006.
V. Bhat et al., “An Self-Managing Wide-Area Data Streaming Service”, Cluster Computing: The Journal of Networks, Software Tools, and Applications, Special Issue on Autonomic Computing, vol. 10, Issue 7. Kluwer Academic Publishers, pp. 365-383, 2007.
T. Jin, F. Zhang, M. Parashar, S. Klasky, N. Podhorszki, and H. Abbasi, “A Scalable Messaging System for Accelerating Discovery from Large Scale Scientific Simulations”, Proceedings of the 19th Annual International Conference on High Performance Computing (HiPC 2012). IEEE Computer Society Press, 2012.
F. Zheng et al., “PreDatA - Preparatory Data Analytics on Peta-Scale Machines”, Proceedings of the 24th IEEE International Parallel and Distributed Processing Symposium. 2010.
N. Podhorszki et al., “Plasma Fusion Code Coupling using Scalable I/O Services and Scientific Workflows”, Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science, in conjunction with Supercomputing 2009 (SC09). 2009.
S. Klasky et al., “In situ data processing for extreme scale computing”, SciDAC Conference. 2011.
V. Bhat, S. Klasky, S. Atchley, M. Beck, D. McCune, and M. Parashar, “High Performance Threaded Data Streaming for Large Scale Simulations”, Proceedings of the 5th International Workshop on Grid Computing (Grid 2004). IEEE Computer Society Press, pp. 243-250, 2004.
C. Docan, M. Parashar, J. Cummings, N. Podhorszki, and S. Klasky, “Experiments with Memory-to-Memory Coupling for End-to-End Fusion Simulation Workflows”, Proceedings of the 10th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing. pp. 293-302, 2010.
V. Bhat, M. Parashar, and S. Klasky, “Experiments with In-Transit Processing for Data Intensive Grid workflows”, Proceedings of the 8th IEEE/ACM International Conference on Grid Computing (Grid 2007). IEEE Computer Society Press, pp. 201-208, 2007.
C. Docan, M. Parashar, and S. Klasky, “Enabling High Speed Asynchronous Data Extraction and Transfer Using DART”, Proceedings of the 17th International Symposium on High-Performance Distributed Computing (HPDC). IEEE Computer Society Press, 2008.
M. Parashar, S. Klasky, and C. Docan, “DataSpaces: An Interaction and Coordination Framework for Coupled Simulation Workflows”, Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing (HPDC 2010). 2010.
J. C. Bennett et al., “Combining In-situ and In-transit Processing to Enable Extreme-Scale Scientific Analysis”, Proceedings of SC 2012, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis. 2012.
H. Liu, V. Bhat, M. Parashar, and S. Klasky, “An Autonomic Service Architecture for Self-Managing Grid Applications”, Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing (Grid 2005). IEEE Computer Society Press, pp. 132-139, 2005.
V. Bhat et al., “An Autonomic Data Streaming Service”, Cluster Computing: The Journal of Networks, Software Tools, and Applications, Special Issue on Autonomic Computing. 2007.
M. Polte et al., “..And eat it too: High read performance in write-optimized HPC I/O middleware file formats”, Proceedings of the 4th Petascale Data Storage Workshop, in conjunction with Supercomputing 2009. 2009.
C. Jin et al., “Adaptive IO System (ADIOS)”, Cray Users Group (CUG) Workshop. 2008.
S. Klasky and et al, “Adaptable Opportunities and Challenges in Exascale I/O and Programming Interfaces to Support I/O Pipelines”, ORNL Fall Creek Falls Meeting. 2010.
S. Klasky and et al, “Adaptable IO System (ADIOS)”, ORNL Fall Creek Falls Meeting. 2009.
Conference Paper
J. Logan et al., “Understanding I/O Performance using I/O Skeletal Applications”, in Proceedings of the Euro-Par 2012 Conference, Rhodes Island, Greece, 2012.
J. Logan et al., “Skel: Generative Software for Producing Skeletal I/O Applications”, in Proceedings of the Workshop on D3Science, in conjunction with 7th IEEE International Conference on e-Science (e-Science 2011), Stockholm, Sweden, 2011.
C. Docan, M. Parashar, J. Cummings, and S. Klasky, “Moving the Code to the Data -- Dynamic Code Deployment using ActiveSpaces”, in Proceedings of the 25th IEEE International Parallel and Distributed Processing Symposium (IPDPS'11), Anchorage, Alaska, USA, 2011.

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