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M. Abdelbaky, Kim, H., Rodero, I., and Parashar, M., Accelerating MapReduce Analytics Using CometCloud, Proceedings of the 5th International Conference on Cloud Computing (IEEE Cloud 2012) -Applications & Experience Track. Honolulu, Hawaii, USA, 2012.
X. Qi, Kim, H., Xing, F., Parashar, M., Foran, D., and Yang, L., The Analysis of Image Feature Robustness Using CometCloud, Journal of Pathology Informatics, Publication of the Association of Pathology Informatics, 2012.
M. Parashar, Abdelbaky, M., Rodero, I., and Devarakonda, A., Cloud Paradigms and Practices for Computational and Data-Enabled Science and Engineering. 2012.
J. C. Bennett, Abbasi, H., Bremer, P. - T., Grout, R., Gyulass, A., Jin, T., Klasky, S., Kolla, H., Parashar, M., Pascucci, V., Pebay, P., Thompson, D., Yu, H., Zhang, F., and Chen, J., Combining In-situ and In-transit Processing to Enable Extreme-Scale Scientific Analysis, Proceedings of SC 2012, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis. Salt Lake City, Utah, USA, 2012.
X. Qi, Xing, F., Ghadge, M., Rodero, I., Abdelbaky, M., Parashar, M., Sadimin, E., Foran, D., and Yang, L., Content-based Image Retrieval on Imaged Peripheral Blood Smear Specimens using High Performance Computation, Proceedings of the Workshop on Data and Compute-Intensive Clinical and Translational Imaging Applications, in conjunction with 15th International Conference on Medical Image Computing and Computer Assisted Intervention (DICTA-MICCAI). Nice, France, 2012.
A. Quiroz and Parashar, M., Design and Evaluation of Decentralized Online Clustering, ACM Transactions on Autonomous and Adaptive Systems, 2012.
S. Jha, Cole, M., Katz, D., Parashar, M., Rana, O., and Weissman, J., Distributed Computing Practice for Large-Scale Science & Engineering Applications, Concurrency and Computation: Practice and Experience, 2012.
M. Abdelbaky, Kim, H., Parashar, M., Jordan, K. E., Sachdeva, V., Sexton, J., Jamjoom, H., Shae, Z. - Y., Pencheva, G., Tavakoli, R., and Wheeler, M., Enabling High Performance Computing as a Service, IEEE Computer, 2012.
F. Zhang, Docan, C., Parashar, M., Klasky, S., Podhorszki, N., and Abbasi, H., Enabling In-situ Execution of Coupled Scientific Workflow on Multi-core Platform, in Proceedings of the 26th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2012), Shanghai, China, 2012.
I. Rodero and Parashar, M., Energy Efficiency in HPC Systems, in Energy-Efficient Distributed Computing Systems, Series on Parallel and Distributed Computing, Hoboken, NJ, USA: John Wiley and Sons, Inc, 2012, pp. 81-108.
I. Rodero, Quiroz, A., Parashar, M., Guim, F., and Poole, S., Energy-efficient Online Provisioning for HPC Workloads, in Handbook of Energy-Aware and Green Computing, Chapman & Hall/CRC Press, 2012, pp. 795-816.
I. Rodero, Viswanathan, H., Lee, E. K., Gamell, M., Pompili, D., and Parashar, M., Energy-efficient Thermal-aware Autonomic Management of Virtualized HPC Cloud Infrastructure, Springer Journal of Grid Computing, Special Issue on High Performance Grid and Cloud Computing, vol. 10, no. 3, pp. 447-473, 2012. JGC_2012.pdf (1.19 MB)
M. Gamell, Rodero, I., Parashar, M., and Muralidhar, R., Exploring Cross-layer Power Management for PGAS Applications on the SCC Platform , in Proceedings of the 21st International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC"12), Delft, the Netherlands , 2012.
M. Punceva, Rodero, I., Parashar, M., Rana, O., and Petri, I., Incentivizing Resource Sharing in Social Clouds, in Proceedings of the 21st International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises (WETICE) 2012 - Convergence of Distributed Clouds, Grids and their Management Conference Track (CDCGM), Toulouse, France, 2012.
F. Zhang, Lasluisa, S., Jin, T., Rodero, I., Bui, H., and Parashar, M., In-situ Feature-based Objects Tracking for Large-Scale Scientific Simulations, International Workshop on Data-Intensive Scalable Computing Systems (DISCS), in conjunction with the 2012 ACM/IEEE Supercomputing Conference (SC 2012). 2012.
D. Villegas, Rodero, I., Devarakonda, A., Bobroff, N., Fong, L., Sadjadi, S. M., Parashar, M., and Liu, Y., Leveraging Cloud Federation in a Layered Service Stack Model, Journal of Computer and System Sciences, Special Issue on Cloud Computing, 2012.
T. Jin, Zhang, F., Parashar, M., Klasky, S., Podhorszki, N., and Abbasi, H., A Scalable Messaging System for Accelerating Discovery from Large Scale Scientific Simulations, Proceedings of the 19th Annual International Conference on High Performance Computing (HiPC 2012). IEEE Computer Society Press, Pune, India, 2012.
J. Logan, Klasky, S., Abbasi, H., Liu, Q., Ostrouchov, G., Parashar, M., Podhorszki, N., Tian, Y., and Wolf, M., Understanding I/O Performance using I/O Skeletal Applications, in Proceedings of the Euro-Par 2012 Conference, Rhodes Island, Greece, 2012.
K. Elangovan, Rodero, I., Parashar, M., Guim, F., and Hernandez, I., Adaptive Memory Power Management Techniques for HPC Workloads, in Proceedings of the 18th IEEE International Conference on High Performance Computing (HiPC) 2011, Bangaluru, India, 2011.
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 and Parashar, M., CometCloud: An Autonomic Cloud Engine, in Cloud Computing: Principles and Paradigms, John Wiley & Sons, 2011, pp. 275-297.
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.


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