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2005
M. Parashar, Lee, W., Wheeler, M., Arnold, D., and Dongarra, J., Interactive and Collaborative Oil Reservoir Simulations on the Grid, Concurrency and Computation: Practice and Experience, vol. 17. pp. 1387-1414, 2005.
S. Chandra, Parashar, M., Yang, J., Zhang, Y., and Hariri, S., Investigating Autonomic Runtime Management Strategies for SAMR Applications, International Journal of Parallel Programming, vol. 33. pp. 247-259, 2005.
H. Klie, Bangerth, W., Gai, X., Wheeler, M. F., Stoffa, P. L., Sen, M., Parashar, M., Catalyurek, U., Saltz, J., and Kurc, T., Models, Methods and Middleware for Grid-enabled Multiphysics Oil Reservoir Management, ICES Technical Report Number 05-34. 2005.
D. Bader, Sridhar, V., and Prasanna, V. K., Proceedings of the 12th IEEE International Conference on High Performance Computing , HiPC 2005, vol. 3769. Springer, p. 550, 2005.
A. Grimshaw, Parashar, M., and Schwan, K., Proceedings of the 14th IEEE International Symposium High Performance Distributed Computing , HPDC 2005. IEEE, p. 324, 2005.
M. Parashar and Watson, L., Proceedings of the 2005 High Performance Computing Symposium, HPC 2005. p. 253, 2005.
M. Parashar, Kephart, J., Schwan, K., and Wang, Y. - M., Proceedings of the 2nd IEEE International Conference on Autonomic Computing, ICAC 2005. IEEE, p. 396, 2005.
Z. Li and Parashar, M., Rudder: An Agent-based Infrastructure for Autonomic Composition of Grid Applications, Multiagent and Grid System - An International Journal, vol. 1. pp. 183-195, 2005.
H. Liu and Parashar, M., Rule-Based Monitoring and Steering of Distributed Scientific Applications, International Journal of High Performance Computing and Networking (IJHPCN), vol. 3. pp. 272-282, 2005.
H. Liu, Jiang, L., Parashar, M., and Silver, D., Rule-based Visualization in the Discover Computational Steering Collaboratory, Future Generation Computer Systems - The International Journal of Grid Computing: Theory, Methods and Applications, vol. 21. pp. 53-59, 2005.
H. Liu, Jiang, L., Parashar, M., and Silver, D., Rule-Based Visualization in the Discover Computational Steering Collaboratory, vol. 21. pp. 53-59, 2005.
J. Yang, Chen, H., Hariri, S., and Parashar, M., Self-Optimizing of Large Scale Wild Fire Simulations, Proceedings of the 5th International Conference on Computational Science (ICCS 2005), vol. 3514-3516. Springer-Verlag, Atlanta, GA, USA, pp. 615-622, 2005.
R. Strong, Semantic Framework for Story Detection, 2005.
T. Kurc, Catalyurek, U., Zhang, X., Saltz, J., Peszynska, M., Martino, R., Wheeler, M., Sussman, A., Hansen, C., Sen, M., Seifoullaev, R., Stoffa, P., Torres-Verdin, C., and Parashar, M., A Simulation and Data Analysis System for Large Scale, Data-Driven Oil Reservoir Simulation Studies, Concurrency and Computation: Practice and Experience, vol. 17. pp. 1441-1467, 2005.
S. Chandra and Parashar, M., Technical Report, Technical Report Number TR-281. 2005.
S. Chandra and Parashar, M., Towards Autonomic Application-Sensitive Partitioning for SAMR Applications, Journal of Parallel and Distributed Computing, vol. 65. pp. 519-531, 2005.
M. Parashar, Matossian, V., Bangerth, W., Klie, H., Rutt, B., Kurc, T., Catalyurek, U., Saltz, J., and Wheeler, M., Towards Dynamic Data-Driven Optimization of Oil Well Placement, Proceedings of the Workshop on Distributed Data Driven Applications and Systems, International Conference on Computational Science 2005 (ICCS 2005), vol. 3514-3516. Springer Verlag, Atlanta, USA, pp. 656-663, 2005.
X. Li and Parashar, M., Using Clustering to Address the Heterogeneity and Dynamism in Parallel SAMR Application, Proceedings of the 12th International Conference on High Performance Computing (HiPC 2005), vol. 3769. Springer-Verlag, Goa, India, pp. 247-257, 2005.
R. Versteeg, Richardson, A., Thomas, S., Lu, B., Neto, J., Wheeler, M., Rowe, T., Parashar, M., and Ankeny, M., A web accessible scientific workflow system for transparent and reproducible generation of information on subsurface processes from autonomously sensed data. 2005.
2004
M. Mahajan, Ramanathan, A., and Parashar, M., Active Resource Management for the Differentiated Services Environment, International Journal of Network Management, vol. 14. pp. 149-165, 2004.
S. Zhang, Adaptive Mesh Refinement and Visiometrics in Accelerated Inhomogeneous Flows, 2004.
C. Schmidt and Parashar, M., Analyzing the Search Characteristics of Space Filling Curve-based Indexing within Squid P2P Data Discovery System, Technical Report Number TR-276. 2004.
M. Parashar, Klie, H., Catalyurek, U., Kurc, T., Matossian, V., Saltz, J., and Wheeler, M., Application of Grid-enabled Technologies for Solving Optimization Problems in Data-Driven Reservoir Studies, Proceedings of the Workshop on Distributed Data Driven Applications and Systems, International Conference on Computational Science 2004 (ICCS 2004). Krakow, Poland, 2004.
J. D. Teresco, Flaherty, J. E., Baden, S. B., Faik, J., Lacour, S., Parashar, M., Taylor, V. E., and Varela, C., Approaches to Architecture-Aware Parallel Scientific Computation, in Proc. PP04: Frontiers of Scientific Computing, 2004.
T. Saif, Architecture Specific Comunication Optimizations for Structured Adaptative Mesh-Refinement Applications, 2004.

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