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Resiliency-aware scheduling
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Improving reliability, power and performance in hardware transactional memory
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Speculation -aware thread scheduling for simultaneous multithreading
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Numerical partial differential equations solvers on variable-grain data-flow multiprocessor systems
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Enabling energy efficient and secure execution of concurrent kernels on graphics processing units
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Demand based techniques to improve the energy efficiency of the execution units and the register file in general purpose graphics processing units
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Exploration of parallelism for probabilistic graphical models
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Learning, adaptation and control to enhance wireless network performance
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Modeling intermittently connected vehicular networks
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Energy proportional computing for multi-core and many-core servers
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Reasoning with degrees of belief
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Improving the efficiency of conflict detection and contention management in hardware transactional memory systems
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Machine learning for efficient network management
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Exploiting variable task granularities for scalable and efficient parallel graph analytics
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Prediction models for dynamic decision making in smart grid
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Discrete optimization for supply demand matching in smart grids
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Efficient memory coherence and consistency support for enabling data sharing in GPUs
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Workflow restructuring techniques for improving the performance of scientific workflows executing in distributed environments
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Clast-contact conglomerates in submarine canyons: Possible subaqueous sieve deposits
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Observations on the relationship between microstructure and mechanical properties in superplasticity
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Fault simulation and multiple scan chain design methodology for systems -on -chips (SOC)
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The physical and magnetic stratigraphy of the Miocene Crowder Formation, Cajon Pass, Southern California
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Efficient data and information delivery for workflow execution in grids
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