Adaptive Fusion of Stochastic Information for Subsurface Imaging of Fractured Vadose Zones
Grant Funded by NSF:
Science
and Engineering Information Integration and Informatics (SEIII)
Publications
Publications and Presentations to-date:
Journal Articles
V. Bhat and M. Parashar, Journal of
Supercomputing, “A Middleware Substrate for Integrating Services on the Grid,”
Special Issue on Infrastructures and
Applications for Cluster and Grid Computing Environments, Kluwer Academic
Publishers.
S. Chandra and M.
Parashar, “Addressing Spatiotemporal and Computational Heterogeneity for
Structured Adaptive Mesh Refinement,”
Computing and Visualization in Science,
Springer-Verlag, online preprint,
http://dx.doi.org/10.1007/s00791-006-0028-7, DOI 10.1007/s00791-006-0028-7,
August 2006.
S. Hariri, B. Khargharia, H. Chen, Y. Zhang, B. Kim, H. Liu
and M. Parashar, "The Autonomic Computing Paradigm", Cluster Computing: The
Journal of Networks, Software Tools and Applications,
Special Issue on Autonomic Computing,
Vol. 9, No. 2, 2006, Springer-Verlag.
W.
A. Illman and D. M. Tartakovsky. 2006. Asymptotic analysis of cross-hole
hydraulic tests in fractured granite,
Ground Water 44, no.4: 555-563.
W.
A. Illman, 2006. Strong field evidence of directional permeability scale effect
in fractured rock, Journal of Hydrology
319, no. 1-4: 227-236.
Z. Li and M. Parashar, “A Decentralized Computational
Infrastructure for Grid based Parallel Asynchronous Iterative Applications,”
Journal of Grid Computing, Special Issue
on Global and Peer-to-Peer Computing, Springer-Verlag, Pages 1–18, May 2006.
Liu, X., W. A. Illman, A. J. Craig, J. Zhu and T.-C. J. Yeh
(2006), Laboratory sandbox validation of transient hydraulic tomography,
accepted for publication in Water Resources Research.
H. Liu and M. Parashar, “Accord: A Programming Framework
for Autonomic Applications,” IEEE Transactions on Systems, Man and Cybernetics,
Special Issue on Engineering Autonomic Systems, Editors: R. Sterritt and T.
Bapty, IEEE Press, Vol. 36, No 3, pp. 341 – 352, 2006.
M. Parashar, H. Liu, Z. Li, V. Matossian, C. Schmidt, G.
Zhang and S. Hariri, “AutoMate: Enabling Autonomic Grid Applications,” Cluster
Computing: The Journal of Networks, Software Tools, and Applications, Special
Issue on Autonomic Computing, Springer Science Business Media B.V. (Kluwer
Academic Publishers), Vol. 9, No. 2, pp. 161 – 174, 2006.
K. Pyke,
Daniels, J, J., Vendl, M., and
Eyuboglu,S., 2006, Controlled Experiment to Determine GPR Water Table Response
and FDTD modeling. Journal of
Environmental and Engineering Geophysics.
G. Zhang and M. Parashar, “SESAME: Scalable, Environment
Sensitive Access Management Engine,” Cluster Computing:
The Journal of Networks, Software Tools, and Applications, Springer
Science Business Media B.V. (Kluwer Academic Publishers), Vol. 9, No. 1, pp. 19
- 27, 2006.
Y. Zhang, S. Hariri, J. Xiang and J. Yeh, Physics Aware Runtime Optimization: A Case Study in a Transient Application, Submitted to IEEE Computing in Science & Engineering, 2006.
L. Zhang and M. Parashar, “Seine: A Dynamic Geometry-based
Shared Space Interaction Framework for Parallel Scientific Applications,”
Concurrency and Computation: Practice and Experience, John Wiley and Sons,
online Volume 18, Issue 15, pp. 1951 – 1973, 2006, (preprint, DOI:
10.1002/cpe.1039, April 2006).
Zhu J. and T.-C. J. Yeh. 2006. Analysis of hydraulic tomography using
temporal moments of drawdown recovery data.
Water Resources Research 42, no.2: w02403.
Conference
Publications and Presentations
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), Barcelona, Spain, IEEE Computer
Society Press, pp. 176 – 183, September 2006.
V. Bhat, M. Parashar, M. Khandekar, N. Kandasamy,
and S. Abdelwahed, “Enabling
Self-Managing Applications using Model-based Online Control Strategies,”
Proceedings of the 3rd IEEE International
Conference on Autonomic Computing (ICAC 2006), Dublin, Ireland, IEEE
Computer Society Press, June 2006.
S. Chandra, M. Parashar and J. Ray, “Dynamic
Structured Partitioning for Parallel Scientific Applications with Pointwise
Varying Workloads,” Proceedings of the
20th IEEE International Parallel and Distributed Processing Symposium, IEEE
Computer Society Press, Rhodes Island, Greece, April 2006.
Huoping Chen, Salim Hariri, and Fahd Rasal; "An Innovative
Self-Configuration Approach for Networked Systems and Applications";
The 4th ACS/IEEE International Conference
on Computer Systems and Applications (AICCSA-06).
Daniels, J., R. Lee, R. Ortega, Y. Yi, and K. Shalek, 2009, Advances in GPR Modeling and Model Use: Invited keynote talk, SAGEEP 2009, Fort Worth Texas, March 29 - April 2, 2009.
Daniels, J., R. Lee, Y. Yi, R. Ortega, and K. Shalek, 2009, Broadband Finite Difference Time Domain Modeling: Proceedings of SAGEEP 2009, Vol. 22, Fort Worth Texas, March 29 - April 2, 2009.
Daniels, J., R. Lee, Y. Yi, R. Ortega, and K. Shalek, 2009, Robust Finite Difference Time Domain Modeling Interface: Proceedings of SAGEEP 2009, Vol. 22, Fort Worth Texas, March 29 - April 2, 2009.
N. Jiang, C. Schmidt, and M. Parashar, “A Decentralized Content-Based Aggregation Service for Pervasive Environments,” Proceedings of the IEEE International Conference on Pervasive Services (ICPS 2006), Lyon, France, IEEE Computer Society Press, June 2006.
Y. Zhang, S. Hariri, J. Xiang and J. Yeh, Physics Aware
Runtime Optimization: A Case Study in a Transient Application, Submitted to
International Conference on Distributed
Computing Systems (ICDCS),
Yeliang Zhang, Salim Hariri, Jianwei Xiang and Jim Yeh.
PARM: Physics Aware Runtime Manager for Large-scale Scientific and Engineering Application. Accepted as a poster at The 15th IEEE International Symposium on High Performance Distributed Computing, June 19-23 2006,L. Zhang and M. Parashar, “Experiments with Wide Area Data Coupling Using the Seine Framework,” Proceedings of the 13th IEEE International Conference on High Performance Computing (HiPC 2006), Bangalore, India, Editors: Y. Roberts, M. Parashar, R. Badrinath, and V.K. Prasanna, LNCS, Springer Verlag, Volume 4297, pp. 229 – 241, December 2006.
L. Zhang and M. Parashar, “Enabling Efficient and Flexible Coupling of Parallel Scientific Applications,” Proceedings of the 20th IEEE International Parallel and Distributed Processing Symposium, IEEE Computer Society Press, Rhodes Island, Greece, April 2006.
Journal Publications
V. Bhat, M. Parashar, H. Liu, M. Khandekar, N. Kandasamy, S. Abdelwahed, and S. Klasky, “An Autonomic Data Streaming Service,” TCluster Computing: The Journal of Networks, Software Tools, and Applications, Special Issue on Autonomic Computing, Springer Science+Business Media B.V. (Kluwer Academic Publishers).
X. Li and M. Parashar, “Hybrid Runtime Management of Space-Time Heterogeneity for Dynamic SAMR Applications,” IEEE Transactions on Parallel and Distributed Systems, IEEE Computer Society Press.
S. Chandra, X. Li, T. Saif and M. Parashar, “Enabling Scalable Parallel Implementations of Structured Adaptive Mesh Refinement Applications,” Journal of Supercomputing, Kluwer Academic Publishers.
S.Eyuboglu, J. J. Daniels, and R. Lee,
Three Dimensional Finite Difference Time
Domain (FDTD) Modeling of Ground Penetrating Radar for a Heterogeneous
Environment Using IDL-based Special Code.
Computers & Geosciences
W. A. Illman, X. Liu, and A. Craig (2006), “Steady-state hydraulic tomography in a laboratory aquifer with deterministic heterogeneity: Multi-method and multiscale validation of hydraulic conductivity tomograms”, submitted manuscript.
Z. Li and M. Parashar, “Enabling Dynamic Composition and Coordination of Autonomic Applications using the Rudder Agent Framework,” The Knowledge Engineering Review, Cambridge University Press.
K. Pyke, S.Eyuboglu, J. J. Daniels, and M. Vendl (in Review), “A controlled Experiment to test the response of GPR to LNAPLs”, Vadose Zone Journal.
Conference/Workshop Posters and Presentations
S. Eyuboglu, J.J. Daniels, R. Lee, J. Yeh , “Study
of High Robust Three Dimensional Finite Difference Time Domain (FDTD) Modeling
of Ground Penetrating Radar for a Heterogeneous Environment”,
American Geophysical Union(AGU) Fall Meeting, 14th December 2006,
San Francisco, California. (Oral Presentation)
S. Eyuboglu, J.J. Daniels,
“Finite Difference Time Domain (FDTD) Modeling of Ground Penetrating Radar (GPR)
for Heterogeneous Media by Using an Efficient Robust Algorithm”,
Highway Geophysics Conference, 6th
December 2006,
S. Eyuboglu, J.J. Daniels, K. Pyke, “Finite Difference Time Domain Modeling of Ground Penetrating Radar with an High Robust Algorithm to characterize Hydrologic Properties in the Subsurface”, 11th International Conference on Ground Penetrating Radar, June 19-22, 2006, Columbus, Ohio
S. Eyuboglu, J. J. Daniels, K. Pyke, “Three Dimensional Finite Difference Time Domain Modeling of Ground Penetrating Radar with an Efficient and Robust Algorithm to Define and Predict Hydrologic Properties in the Subsurface”, AGU Fall Meeting, 5-9 December 2005, San Francisco, California.
Z. Li and M. Parashar, “An Infrastructure for
Dynamic Composition of Grid Service,” Proceedings of the 7th IEEE International
Conference on Grid Computing (Grid 2006), Barcelona, Spain,
IEEE Computer Society Press, pp. 315
– 316, September 2006.
V. Matossian and M. Parashar,
“Towards Autonomic Control of Network Topologies,”
Proceedings of the 1st IEEE Workshop on
Modeling Autonomic Communication Environments (MACE), 2nd International Week
on Management of Networks and Services (Manweek 2006), Dublin, Ireland, pp. 235
– 250, October 2006.
M. Parashar, “Distributed Adaptive and Interactive
Simulations using Structured Adaptive Mesh Refinement,”
13th
K. Pyke, J. J. Daniels, S. Eyuboglu, GPR Response to the Introduction of LNAPL in the Vadose Zone, American Geophysical Union (AGU) Fall Meeting, 5-9, December 2005, San Francisco, California.