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2011
L. Moser, Parashar, M., and Hung, P., Proceedings of the 18th IEEE International Conference on High Performance Computing , HiPC 2011. IEEE , Bengalaru, India, 2011.
U. V. Catalyurek, Dubhashi, D., Jones, P. H., Parashar, M., Schmidt, B., Aluru, S., and Bandyopadhyay, S., Proceedings of the 4th International Conference on Contemporary Computing , vol. 168. Springer, p. 562, 2011.
L. Liu and Parashar, M., Proceedings of the 8th IEEE International COnference on Cloud Computing, CLOUD 2011. IEEE, 2011.
J. Logan, Klasky, S., Lofstead, J., Abbasi, H., Ethier, S., Grout, R., Ku, S. - H., Liu, Q., Ma, X., Parashar, M., Podhorszki, N., Schwan, K., and Wolf, M., Skel: Generative Software for Producing Skeletal I/O Applications, Proceedings of the Workshop on D3Science, in conjunction with 7th IEEE International Conference on e-Science (e-Science 2011). Stockholm, Sweden, 2011.PDF icon 34. Skel Generative Software for Producing Skeletal IO Applications.pdf (296.21 KB)
J. C. Cummings, Chang, C. - S., Docan, C., Klasky, S., Parashar, M., Park, G., Podhorszki, N., and Sugiyama, L., Study of ELM Perturbation Effects on Divertor Heat Loads using Tightly Coupled Kinetic-MHD Simulations. 2011.PDF icon 11. Study of ELM Perturbation Effects on Divertor Heat Loads using Tightly Coupled Kinetic MHD Simulations.pdf (10.04 KB)
D. S. Katz, Jha, S., Parashar, M., Rana, O., and Weissman, J., Survey and Analysis of Production Distributed Computing Infrastructures, Technical Report CI-TR-7-0811. Computation Institute, University of Chicago and Argonne National Laboratory. 2011.
2012
C. A. Varela, Parashar, M., and Agha, G., Eds., 5th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2012 Conference Proceedings. IEEE, Chicago, IL, 2012.
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.PDF icon 29. Accelerating MapReduce Analytics Using CometCloud.pdf (371.13 KB)
X. Qi, Xing, F., Kim, H., 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.PDF icon 16. Enabling High Performance Computing as a Service.pdf (18.82 MB)
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’12, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis. ACM/IEEE, Salt Lake City, Utah, 2012.PDF icon 24. Combining In-situ and In-transit Processing to Enable Extreme-Scale Scientific Analysis.pdf (2.37 MB)
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.
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 & 15th International Conference on Medical Image Computing and Computer Assisted Intervention (DICTA-MICCAI). Nice, France, 2012.PDF icon 27. Content-based Image Retrieval on Imaged Peripheral Blood Smear Specimens using High Performance.pdf (1.27 MB)
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. S., Parashar, M., Rana, O., and Weissman, J., Distributed Computing Practice for Large-Scale Science & Engineering Applications, Concurrency and Computation: Practice and Experience, pp. 1559-585, 2012.PDF icon 17. Distributed Computing Practice for Large Scale.pdf (196.21 KB)
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.
M. Abdelbaky, Parashar, M., Kim, H., Jordan, K. E., Sachdeva, V., Sexton, J., Jamjoom, H., Shae, Z. - Y., Pencheva, G., Tavakoli, R., and Wheeler, M. F., Enabling high-performance computing as a service, Computer, pp. 72–80, 2012.PDF icon 16. Enabling High Performance Computing as a Service.pdf (18.82 MB)
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, Proceedings of the 26th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2012). Shanghai, China, 2012.PDF icon 32. Enabling In-situ Execution of Coupled Scientific Workflow on Multi-core Platform.pdf (2.1 MB)
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.PDF icon 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.
F. Zhang, Lasluisa, S., Jin, T., Rodero, I., Bui, H., and Parashar, M., In-situ Feature-based Objects Tracking for Large-Scale Scientific Simulations, Proceedings 2012 International Workshop on Data-Intensive Scalable Computing Systems (DISCS-2012) & SC’12, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis. ACM/IEEE, Salt Lake City, Utah, 2012.PDF icon 25. In-situ Feature-based Objects Tracking for Large-Scale Scientific Simulations.pdf (488.53 KB)
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.

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