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2009
H. Kim, el-Khamra, Y., Jha, S., and Parashar, M., An Autonomic Approach to Integrated HPC Grid and Cloud Usage, Proceedings of 5th IEEE International Conference on e-Science (e-Science 2009). Oxford, UK, 2009.
M. Majmudar, Docan, C., Parashar, M., and Marty, C., Cost vs. Performance of VaR on Accelerator Platforms, Proceedings of the Workshop on High Performance Computational Finance (HPCF), in conjunction with Supercomputing 2009 (SC09). Portland, OR, USA, 2009.
S. Jha, Katz, D., Parashar, M., Rana, O., and Weissman, J., Critical Perspectives on Large-Scale Distributed Applications and Production Grids, Proceedings of the 10th IEEE/ACM International Conference on Grid Computing (Grid 2009). Banff, Alberta, Canada, pp. 1-8, 2009.
N. Jiang and Parashar, M., Enabling Autonomic Power-Aware Management of Instrumented Data Centers, 5th Workshop on High-Performance, Power-Aware Computing (HPPAC 2009), in conjunction with the 23rd IEEE International Parallel and Distributed Processing Symposium (IPDPS 2009). IEEE Computer Society Press, Rome, Italy, 2009.
N. Jiang and Parashar, M., Enabling End-to-end Data-driven Sensor-based Scientific and Engineering Applications, Proceeding of the Workshop on Dynamic Data-Driven Application Systems (DDDAS '09), in conjunction with the International Conference on Computational Science (ICCS 2009). Springer Verlag, Baton Rouge, Louisiana, USA, 2009.
S. Klasky, Abbasi, H., Bhat, V., Docan, C., Hodson, S., Jin, C., Lofstead, J., Parashar, M., Schwan, K., and Wolf, M., High Throughput Data Movement, in Scientific Data Management: Challenges, Existing Technologies, and Deployment, CRC Press, 2009, pp. 151-180.PDF icon high throughput.pdf (1.04 MB)
S. Jha, Parashar, M., and Rana, O., Investigating Autonomic Behaviors in Grid-Based Computational Science Applications, Grid Meets Autonomic Computing Workshop (GMAC '09), Proceedings of the 6th International Conference on Autonomic Computing and Communication. Barcelona, Spain, 2009.
H. Kim, Parashar, M., Foran, D., and Yang, L., Investigating the Use of Cloudbursts for High Throughput Medical Image Registration, Proceedings of the 10th IEEE/ACM International Conference on Grid Computing (Grid 2009). Banff, Alberta, Canada, pp. 34-41, 2009.
H. Kim, Chaudhari, S., Parashar, M., and Marty, C., Online Risk Analytics on the Cloud, Proceedings of the International Workshop on Cloud Computing (Cloud 2009), in conjunction with 9th IEEE/ACM International Symposium on Cluster Computing (CCGrid 2009). IEEE Computer Society Press, Shanghai, China, 2009.
M. Parashar and Pierson, J. - M., Pervasive Grids: Challenges and Opportunities, in Handbook of Research on Scalable Computing Technologies, Information Science Reference, IGI Global, 2009.
N. Podhorszki, Klasky, S., Liu, Q., Docan, C., Parashar, M., Abbasi, H., Lofstead, J., Schwan, K., Wolf, M., Zheng, F., and Cummings, J., Plasma Fusion Code Coupling using Scalable I/O Services and Scientific Workflows, Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science, in conjunction with Supercomputing 2009 (SC09). Portland, OR, USA, 2009.
Y. Yuan, Parashar, M., Muralidhar, R., and Prasanna, V. K., Proceedings of the 16th IEEE International Conference on High Performance Computing , HiPC 2009. IEEE, 2009.
S. Dobson, Strassner, J., Parashar, M., and Shehory, O., Proceedings of the 6th IEEE International Conference on Autonomic Computing and Communications , ICAC 2009. ACM Press, 2009.
S. Dobson, Strassner, J., Parashar, M., and Shehory, O., Proceedings of the 6th IEEE International Conference on Autonomic Computing and Communications, ICAC 2009. ACM Press, 2009.
M. Wang and Parashar, M., Programming GPU Accelerators with Aspects and Code Transformation, Proceedings of the First Workshop on Programming Models for Emerging Architectures (PMEA), Co-located with the 18th International Conference on Parallel Architectures and Compilation Techniques (PACT). Computer Society Press, Raleigh, NC, USA, 2009.
A. Quiroz, Gnanasambandam, N., Parashar, M., and Sharma, N., Robust Clustering Analysis for the Management of Self-Monitoring Distributed Systems, Cluster Computing: The Journal of Networks, Software Tools, and Applications, Special Issue on Autonomic Computing, vol. 12, no. No. 1, pp. 73-85, 2009.
S. Jha, Parashar, M., and Rana, O., Self-Adaptive Architectures for Autonomic Computational Science, Proceedings of the Self-Organizing Architectures Workshop (SOARS 2009 held in conjunction with Working IEEE/IFIP Conference on Software Architecture (WICSA) and European Conference on Software Architecture (ECSA)). Springer, Cambridge, UK, 2009.
L. Zhang, Parashar, M., and Wah, B. W., Shared Memory Multiprocessors, in Wiley Encyclopedia of Computer Science and Engineering, vol. 4, John Wiley and Sons, Inc., 2009, pp. 2522-2534.
M. Wang, Klie, H., Parashar, M., and Sudan, H., Solving Sparse Linear Systems on NVIDIA Tesla GPUs, Proceeding of the Workshop on Using Emerging Parallel Architectures for Computational Science, in conjunction with the International Conference on Computational Science (ICCS 2009). Springer Verlag, Baton Rouge, Louisiana, USA, 2009.
A. Quiroz, Kim, H., Parashar, M., Gnanasambandam, N., and Sharma, N., Towards Autonomic Workload Provisioning for Enterprise Grids and Clouds, Proceedings of the 10th IEEE/ACM International Conference on Grid Computing (Grid 2009). Banff, Alberta, Canada, pp. 50-57, 2009.
2008
J. L. Berral, Poggi, N., Alonso, J., Gavalda, R., Torres, J., and Parashar, M., Adaptive Distributed Mechanisms against Flooding Network Attacks Based on Machine Learning, Proceedings of the 1st ACM Workshop on AISec, in conjunction with the 15th ACM Conference on Computer and Communications Security (CCS). Alexandria, VA, USA, 2008.
C. Jin, Klasky, S., Hodson, S., Yu, W., Lofstead, J., Abbasi, H., Schwan, K., Wolf, M., Liao, W., Choudhary, A., Parashar, M., and Docan, C., Adaptive IO System (ADIOS), Cray Users Group (CUG) Workshop. 2008.
M. Parashar, Addressing Challenges of Adaptivity and Scale in Parallel Scientific Applications, Seminar Series. Department of Computer Science, Watson School of Engineering and Applied Sciences, Binghamton University (State University of New York), Binghamton, NY, USA, 2008.
M. Parashar, Addressing Challenges of Adaptivity and Scale in Parallel Scientific Applications, Seminar Series. Drexel University, Philadelphia, PA, USA, 2008.
E. Gallicchio, Levy, R. M., and Parashar, M., Asynchronous Replica Exchange for Molecular Simulations, Journal of Computational Chemistry, vol. 29, pp. 788-794, 2008.

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