A. Raghunathan

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We present a general and efficient strategy for computing mtustly on unreliable parallel machines. The model of a parallel machine that we use is a CRCW PRAM with dynamic resource fluctuations: processors can fail during the computation, and may possibly bc restored later. We first introduce the notions of dejinite and tentatitie algorithms for executing a(More)
In this paper, we address the problem of automatically transforming <italic>arbitrary</italic> programs written for an ideal parallel machine to run on a <italic>completely asynchronous</italic> machine. We present a <italic>transformation</italic> which can be applied to an ideal program such that the resulting program's execution on an asynchronous(More)
The National Institute of Standards and Technology (NIST) hosted the Roadmapping Workshop - Measurement Science for Prognostics and Health Management for Smart Manufacturing Systems (PHM4SMS) in Fall 2014 to discuss the needs and priorities of stakeholders in the PHM4SMS technology area. The workshop brought together over 70 members of the PHM community.(More)
Energy's Office of Energy Efficiency and Renewable Energy (EERE). Market analysis is a critical component of EERE's planning and analysis activities. Market analysis examines factors that shape the markets for EERE products and technologies, and provides sector-specific information needed for benefits and policy analysis. The report is neither a description(More)
To the best of my knowledge and as understood by the student in the Research Integrity and Copyright Disclaimer (Graduate School Form 20), this thesis/dissertation adheres to the provisions of Purdue University's " Policy on Integrity in Research " and the use of copyrighted material. Further, I certify that this work is free of plagiarism and all materials(More)
ii ACKNOWLEDGMENTS First, I'd like to thank my advisor Dr. Mithuna Thottethodi for all of his guidance and help in navigating graduate school and research. Thanks to my committee members, Dr. T.N. Vijaykumar and Dr. Anand Raghunathan, for their time and feedback. Second, I'd like to thank the entire SAIG research group for their support and feedback. In(More)
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