Export 667 results:
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.
M. Parashar, Autonomic, Architecture-Aware Runtime Management of Parallel Adaptive Applications, Minisymposium on Architecture-Aware Parallel Computation, 11th SIAM Conference on Parallel Processing and Scientific Computing (PP04). San Francisco, CA, USA, 2004.
M. Parashar, Autonomic, Architecture-Aware Runtime Management of Parallel Adaptive Applications, Minisymposium on Architecture-Aware Parallel Computation, 11th SIAM Conference on Parallel Processing and Scientific Computing (PP04). San Francisco, CA, USA, 2004.
M. Parashar, Autonomic Computing: Foundations for a New Era in Computing, European Commission - US National Science Foundation Strategic Research Workshop on Unconventional Programming Paradigms: Challenges, Visions and Research Issues for New Programming Paradigms. Mont Saint-Michel, France, 2004.
M. Parashar, Li, Z., Liu, H., Schmidt, C., Matossian, V., and Jiang, N., Autonomic Computing: Models, Architectures and Infrastructures, in Proceedings of the European Commission - US National Science Foundation Strategic Research Workshop on Unconventional Programming Paradigms: Challenges, Visions and Research Issues for New Programming Paradigms, Mont Saint-Michel, France, 2004, pp. 157-164.
M. Parashar, Autonomic Computing: Models, Architectures and Infrastructures, European Commission - US National Science Foundation Strategic Research Workshop on Unconventional Programming Paradigms: Challenges, Visions and Research Issues for New Programming Paradigms. Mont Saint-Michel, France, 2004.
Y. Zhang, Chandra, S., Yang, J., Hariri, S., and Parashar, M., Autonomic Proactive Runtime Partitioning Strategies for SAMR Applications, Proceedings of the NSF Next Generation Systems Program Workshop, IEEE/ACM 18th International Parallel and Distributed Processing Symposium. Santa Fe, NM, USA, p. 8, 2004.
Y. Zhang, Chandra, S., Yang, J., Hariri, S., and Parashar, M., Autonomic Proactive Runtime Partitioning Strategies for SAMR Applications, Proceedings of the NSF Next Generation Systems Program Workshop, IEEE/ACM 18th International Parallel and Distributed Processing Symposium. Santa Fe, NM, USA, 2004.
M. Parashar, An Autonomic Reservoir Framework, Minisymposium on Reservoir Simulation in the 21st Century, 2004 SIAM Annual Meeting (AN 2004). Portland, OR, USA, 2004.
M. Parashar, An Autonomic Reservoir Framework, Minisymposium on Reservoir Simulation in the 21st Century. 2004 SIAM Annual Meeting (AN 2004), Portland, OR, USA, 2004.
V. Matossian, Parashar, M., Bangerth, W., Klie, H., and Wheeler, M. F., An Autonomic Reservoir Framework for the Stochastic Optimization of Well Placement, Cluster Computing: The Journal of Networks, Software Tools, and Applications. 2004.
H. Liu, A Component Based Programming Framework for Autonomic Applications, 1st IEEE International Conference on Autonomic Computing (ICAC 2004). New York, NY, USA, pp. 278-279, 2004.
H. Liu, Parashar, M., and Hariri, S., A Component-based Programming Framework for Autonomic Applications, in Proceedings of the 1st IEEE International Conference on Autonomic Computing (ICAC-04), New York, NY, USA, 2004, pp. 278-279.

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