Taxonomic Search: Carnegie Mellon University

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Cache and IO-Efficient Functional Algorithms

 

ABSTRACT

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Compositionality and Reconfiguration for Distributed Hybrid Systems

This research project addresses fundamental challenges in the verification and analysis of distributed hybrid systems.  In particular, we are working to minimize the mismatch between the combinations of dynamics that occur in complex physical systems and the limited kinds of dynamics currently supported in analysis.
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A Framework for Enabling Energy-Aware Smart Facilities

The goal of this research is to identify ways to inexpensively provide detailed information about energy consumption in buildings and facilitate conservation. By relying on aggregate data, homeowners and facility managers are blind to the contribution of individual appliances and activities to the overall numbers. And while there is adequate evidence that providing real-time, appliance-specific data allows users to achieve significant energy savings, the available solutions in the market are either inadequately granular or prohibitively expensive.