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S. Jha, Katz, D. S., Parashar, M., Rana, O., and Weissman, J., Abstractions for Distributed Applications and Systems: A Computational Science Perspective. Wiley Book Series.
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M. Parashar, Kurc, T., Wheeler, M. F., Catalyurek, U. V., and Saltz, J., “Driving Science and Engineering Applications by Data: Dynamic Data-Driven Approaches for Simulation- Based Optimization and Decision Making”, in Dynamic Data Driven Applications Systems, Kluwer Academic Publishers, p. 23.
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M. Gammell, Katz, D. S., Kolla, H., Chen, J., and Parashar, M., “Exploring Automatic, Online Failure Recovery for Scientific Applications at Extreme Scales”, Proceedings of SC’14, The ACM/IEEE International Conference for High Performance Computing, Networking Storage and Analysis. New Orleans, LA.
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PDF icon 4. Exploring Automatic, Online Failure Recovery for Scientific Applications at Extreme Scales.pdf (293.17 KB)
S. Lasluisa, Rodero, I., Parashar, M., and Ruckemann, C. - P., “Software Design for Passing Sarbanes Oxley in Cloud Computing”, in Integrated Information and Computing Systems For Natural, Spatial, and Social Sciences, IGI Global, pp. 27-42.
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PDF icon 3. Software-Design-for-Passing-Sarbanes-Oxley-in-Cloud-Computing.pdf (267.09 KB)

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