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2010
E. Kiciman and Parashar, M., Proceedings of the 7th IEEE International Conference on Autonomic Computing and Communications. ACM Press, Reston, VA , 2010.
N. Jiang and Parashar, M., A Programming System for Sensor-based Scientific Applications, Journal of Computational Science, vol. 1, no. 4, pp. 206-220, 2010.
D. Villegas, Rodero, I., Fong, L., Bobroff, N., Liu, Y., Parashar, M., and S. Sadjadi, M., The Role of Grid Computing Technologies in Cloud Computing, in Handbook of Cloud Computing, Springer, 2010, pp. 183-218.PDF icon The Role of Grid Computing Technologies in Cloud Computing.pdf (716.02 KB)
L. Zhang, Docan, C., and Parashar, M., The Seine Data Coupling Framework for Parallel Scientific Applications, in Advanced Computational Infrastructures for Parallel and Distributed Applications, John Wiley and Sons, 2010, pp. 283-309.
S. Jha, Parashar, M., Rana, O., Weyns, D., Malek, S., De Lemos, R., and Andersson, J., Self-adaptive architectures for autonomic computational science, in Self-Organizing Architectures, Springer, 2010, pp. 177–197.PDF icon self adaptive architectures.pdf (442.27 KB)
I. Rodero, Jaramillo, J., Quiroz, A., Parashar, M., and Guim, F., Towards Energy-Aware Autonomic Provisioning for Virtualized Environments, 19th ACM International Symposium on High Performance Distributed Computing (HPDC). Chicago, IL, USA, pp. 320-323, 2010.
I. Rodero, Lee, E. K., Pompili, D., Parashar, M., Gamell, M., and Figueiredo, R. J., Towards Energy-Efficient Reactive Thermal Management in Instrumented Datacenters, Proc. of IEEE/ACM International Conference on Energy Efficient Grids, Clouds and Clusters Workshop (E2GC2). IEEE, Brussels, Belgium, 2010.PDF icon e2gc2.pdf (507 KB)
I. Rodero, Lee, E. K., Pompili, D., Parashar, M., Gamell, M., and Figueiredo, R. J., Towards Energy-Efficient Reactive Thermal Management in Instrumented Datacenters, Proceedings of the Energy Efficient Grids, Clouds and Clusters Workshop (E2GC2 2010), in conjunction with the IEEE Grid 2010 Conference (Grid 2010). Brussels, Belgium, pp. pp. 321-328, 2010.PDF icon E2GC2_2010.pdf (506.63 KB)
2011
K. Elangovan, Rodero, I., Parashar, M., Guim, F., and ., H., Adaptive Memory Power Management Techniques for HPC Workloads, Proceedings of the 18th IEEE International Conference on High Performance Computing (HiPC) 2011. Bangaluru, India, 2011.PDF icon 33. Adaptive Memory Power Management Techniques for HPC Workloads.pdf (559.15 KB)
M. Parashar, Addressing the Petascale Data Challenge using In-Situ Analytics. 2011.PDF icon 10. Addtrdding the petascale data challenge using in-situ analytics.pdf (409.24 KB)
X. Qi, Kim, H., Xing, F., Parashar, M., Foran, D., and Yang, L., The analysis of image texture feature robustness using CometCloud, in Proceedings of the 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Toronto, Canada, 2011.
H. Kim, el-Khamra, Y., Rodero, I., Jha, S., and Parashar, M., Autonomic Management of Application Workflow on Hybrid Computing Infrastructure, Scientific Programming Journal, vol. 19. pp. 75-89, 2011.
H. Kim, Parashar, M., Quiroz, A., and Gnanasambandam, N., Autonomic Workflow Management in Dynamically Federated, Hybrid Cloud Infrastructures using CometCloud, in Cloud Computing: Methodology, Systems, and Applications, CRC, Taylor & Francis Group, 2011.
H. Kim, Parashar, M., Buyya, R., Broberg, J., and Goscinski, A., CometCloud: An Autonomic Cloud Engine, in Cloud Computing: Principles and Paradigms, John Wiley & Sons, 2011, pp. 275-297.PDF icon cometcloud.pdf (497.45 KB)
M. Parashar, Klie, H., Kurc, T., Catalyurek, U., Saltz, J., and Wheeler, M. F., Dynamic Decision and Data-Driven Strategies for the Optimal Management of Subsurface Geo-systems, Journal of Algorithms & Computational Technology, vol. 5, no. No.4, pp. 645 – 665, 2011.
F. Zhang, Docan, C., Parashar, M., and Klasky, S., Enabling Multi-Physics Coupled Simulations within the PGAS Programming Framework, in Proceedings of the 11th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid 2011), Newport Beach, CA, USA, 2011.
H. Viswanathan, Lee, E. K., Rodero, I., Pompili, D., Parashar, M., and Gamell, M., Energy-Aware Application-Centric VM Allocation for HPC Workloads, in Proceedings of the Workshop on High-Performance Grid and Cloud Computing, a workshop at the 25th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2011), Anchorage, Alaska, USA, 2011.PDF icon HPGC_2011.pdf (207.54 KB)
K. Moreland, Oldfield, R., Marion, P., Jourdain, S., Podhorszki, N., Docan, C., Parashar, M., Hereld, M., Papka, M. E., and Klasky, S., Examples of In Transit Visualization, Proceedings of the Workshop on Petascale Data Analytics: Challenges and Opportunities (PDAC-11), in conjunction with ACM/IEEE SC11 . Seattle, WA, USA, 2011.PDF icon 35. Examples of In Transit Visualization.pdf (2.38 MB)
H. Kim, el-Khamra, Y., Jha, S., and Parashar, M., Exploring the Use of Hybrid HPC-Grids/Clouds Infrastructure for Science and Engineering, in Cloud Computing: Methodology, Systems, and Applications, CRC, Taylor & Francis Group, 2011.
L. Yang, Kim, H., Parashar, M., and Foran, D., High Throughput Landmark Based Image Registration Using Cloud Computing, in 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Toronto, Canada, 2011.
S. Klasky, Abbasi, H., Logan, J., Parashar, M., Schwan, K., Shoshani, A., Wolf, M., Ahern, S., Altintas, I., Bethel, W., Chacon, L., Chang, C. S., Chen, J., Childs, H., Cummings, J., Ethier, S., Grout, R., Lin, Z., Liu, Q., Ma, X., Moreland, K., Pascucci, V., Podhorszki, N., Samatova, N., Schroeder, W., Tchoua, R., Wu, K. J., and Yu, W., In situ data processing for extreme scale computing, SciDAC Conference. Denver, CO, 2011.
C. Docan, Parashar, M., Cummings, J., and Klasky, S., 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.
F. Guim, Ferrer, M., Jorba, J., Rodero, I., and Parashar, M., Mptrace: Characterizing Physical Memory Usage for Chip Multiprocessors, Proceedings of The First International Conference on Advanced Communications and Computation (INFOCOMP). Barcelona, Spain, 2011.PDF icon 36. Mptrace Characterizing Physical Memory Usage for Chip Multiprocessors.pdf (639.38 KB)
S. K. Prasad, Chtchelkanova, A., Das, S., Dehne, F., Gouda, M., Gupta, A., Jaja, J., Kant, K., Selle, L. A., LeBlanc, R., Lumsdaine, A., Padua, D., Parashar, M., Prasanna, V., Robert, Y., Rosenberg, A., Sahni, S., Shirazi, B., Sussman, A., Weems, C., and Wu, J., NSF/IEEE-TCPP curriculum initiative on parallel and distributed computing: core topics for undergraduates, in In Proceedings of the 42nd ACM technical symposium on Computer science education (SIGCSE "11), New York, NY, USA, 2011.
R. Ranjan, Zhao, L., Wu, X., Quiroz, A., Parashar, M., Liu, A., Antonopoulos, N., and Gillam, L., Peer-to-Peer Cloud Provisioning: Service Discovery and Load-Balancing, in Cloud Computing: Principles, Systems and Applications, Springer Verlag, 2011, pp. 1-22.PDF icon peer-peer.pdf (2.22 MB)

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