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University of Massachusetts Amherst

Energy

Computer Sciences

2013

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Full-Text Articles in Physical Sciences and Mathematics

Software Techniques To Reduce The Energy Consumption Of Low-Power Devices At The Limits Of Digital Abstractions, Mastooreh Salajegheh Feb 2013

Software Techniques To Reduce The Energy Consumption Of Low-Power Devices At The Limits Of Digital Abstractions, Mastooreh Salajegheh

Open Access Dissertations

My thesis explores the effectiveness of software techniques that bend digital abstractions in order to allow embedded systems to do more with less energy. Recent years have witnessed a proliferation of low-power embedded devices with power ranges of few milliwatts to microwatts. The capabilities and size of the embedded systems continue to improve dramatically; however, improvements in battery density and energy harvesting have failed to mimic a Moore's law. Thus, energy remains a formidable bottleneck for low-power embedded systems.

Instead of trying to create hardware with ideal energy proportionality, my dissertation evaluates how to use unconventional and probabilistic computing that …