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2006
H. Liu and Parashar, M., A Programming System for Autonomic Self-managing Applications, in Autonomic Computing: Concepts, Infrastructure and Applications, CRC Press, 2006, pp. 211-235.
M. Parashar, Liu, H., Li, Z., Matossian, V., and Schmidt, C., Project AutoMate: Enabling Self-Managing Grid Applications, in Advanced Parallel and Distributed Computing, Nova Science Publishers, 2006, pp. 121-140.
L. Zhang, Parashar, M., Gallicchio, E., and Levy, R. M., Salsa: Scalable Asynchronous Replica Exchange for Parallel Molecular Dynamics Simulations, Proceedings of the 35th International Conference on Parallel Processing (ICPP 2006). IEEE Computer Society Press, Columbus, OH, USA, pp. 127-134, 2006.
L. Zhang and Parashar, M., Seine: A Dynamic Geometry-based Shared Space Interaction Framework for Parallel Scientific Applications, Concurrency and Computation: Practice and Experience, vol. 18, no. 15, pp. 1951-1973, 2006.
V. Bhat, Parashar, M., Khandekar, M., Kandasamy, N., and Klasky, S., 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, Barcelona, Spain, pp. 176-183, 2006.
G. Zhang and Parashar, M., SESAME: Scalable, Environment Sensitive Access Management Engine, Cluster Computing: The Journal of Networks, Software Tools, and Applications, vol. 9. 2006.
V. Matossian and Parashar, M., Towards Autonomic Control of Network Topologies, Proceedings of the 1st IEEE Workshop on Modeling Autonomic Communication Environments (MACE). Dublin, Ireland, pp. 235-250, 2006.
M. Parashar, Matossian, V., Klie, H., Thomas, S. G., Wheeler, M. F., Kurc, T., Saltz, J., and Versteeg, R., Towards Dynamic Data-Driven Management of the Ruby Gulch Waste Repository, Proceedings of the Workshop on Distributed Data Driven Applications and Systems, International Conference on Computational Science 2006 (ICCS 2006), vol. 3993. Reading, UK, pp. 384-392, 2006.
2007
M. Parashar, Addressing Challenges of Adaptivity and Scale in Parallel Scientific Applications, HPC Seminar Series, Computational Science and Engineering, College of Computing. Georgia Institute of Technology, Atlanta, GA, USA, 2007.
S. Chandra, Parashar, M., and Ray, J., Analyzing the Impact of Computational Heterogeneity on Runtime Performance of Parallel Scientific Components, in Proceedings of the High Performance Computing Symposium (HPC 2007), SCS Spring Simulation Multconference (SpringSim07), Norfolk, VA, USA, 2007.
V. Matossian, Analyzing the Impact of Local Perturbations of Network Topologies at the Application-Level, 2007.
V. Bhat, Parashar, M., Liu, H., Khandekar, M., Kandasamy, N., Klasky, S., and Abdelwahed, S., An Autonomic Data Streaming Service, Cluster Computing: The Journal of Networks, Software Tools, and Applications, Special Issue on Autonomic Computing. Springer, Netherlands, 2007.
Z. Li and Parashar, M., A Computational Infrastructure for Grid-based Asynchronous Parallel Applications, Proceedings of the 16th International Symposium on High-Performance Distributed Computing (HPDC). IEEE Computer Society Press, Monterey, CA, USA, p. 229, 2007.
T. Kurc, Zhang, X., Parashar, M., Klie, H., Wheeler, M. F., Catalyurek, U., and Saltz, J., Dynamic Data-Driven Systems Approach for Simulation based Optimizations, Proceedings of the Workshop on Distributed Data Driven Applications and Systems, International Conference on Computational Science 2007 (ICCS 2007), vol. LNCS 4487. Springer Verlag, Beijing, China, pp. 1213-1221, 2007.
M. Parashar, Enabling CyberPhysical Science and Engineering, Invited Presentation. Distributed Programming Abstractions Workshop, UK e-Science Center. Distributed Programming Abstractions Workshop, UK e-Science Center, Edinburgh, UK, 2007.
S. Chandra, Li, X., Saif, T., and Parashar, M., Enabling Scalable Parallel Implementations of Structured Adaptive Mesh Refinement Applications, 2nd ed., vol. 39. 2007, pp. 177-203.
V. Bhat, Parashar, M., and Klasky, S., 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, Austin, Texas, USA, pp. 201-208, 2007.
Z. Li and Parashar, M., Grid-based Asynchronous Replica Exchange, in Proceedings of the 8th IEEE/ACM International Conference on Grid Computing (Grid 2007), Austin, TX, USA, 2007, pp. 193-200.
X. Li and Parashar, M., GridMate: A Simulator for Adaptive Runtime Management of Dynamic Applications in Multi-site Grid Systems, Proceedings of the 2007 International Conference on Grid Computing and Applications (GCA 2007). Las Vegas, NV, USA, pp. 130-136, 2007.
C. Docan, Parashar, M., and Klasky, S., High Speed Asynchronous Data Transfers on the Cray XT3, Center for Advanced Information Processing, Rutgers University. 2007.
X. Li and Parashar, M., Hybrid Runtime Management of Space-Time Heterogeneity for Dynamic SAMR Applications, IEEE Transactions on Parallel and Distributed Systems, vol. 18. pp. 1202-1214, 2007.
M. Parashar, Schmidt, C., Jiang, N., and Matossian, V., Meteor: A Middleware Infrastructure for Content-based Decoupled Interactions in Pervasive Grid Environments, Concurrency and Computation: Practice and Experience, 2007.
S. Chandra, A Multiobjective Approach for Addressing Dynamism and Heterogeneity in Parallel Scientific Simulations, 2007.
M. Parashar, Pervasive Computational Ecosystem: Enabling Dynamic Data/Information Driven Science, Research Position Paper. 2007.
S. Aluru, Parashar, M., Badrinath, R., and Prasanna, V. K., Proceedings of the 14th IEEE International Conference on High Performance Computing, HiPC 2007. Springer, 2007.

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