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Topics in Power and Performance Optimization of Embedded Systems

Abstract The ubiquity of embedded computational systems has exploded in recent years impacting everything from hand-held computers and automotive driver assistance to battlefield command and control and autonomous systems. Typical embedded computing systems are characterized by highly resource constrained operating environments. In particular, limited energy resources constrain performance in embedded systems often reliant on independent fuel or battery supplies. Ultimately, mitigating energy consumption without sacrificing performance in these systems is paramount. In this work power/performance optimization emphasizing prevailing data centric applications including video and signal processing is addressed for energy constrained embedded systems. F... (more)
Created Date 2011
Contributor Baker, Michael (Author) / Chatha, Karam S. (Advisor) / Raupp, Gregory B. (Committee member) / Vrudhula, Sarma B. K. (Committee member) / Shrivastava, Aviral (Committee member) / Arizona State University (Publisher)
Subject Computer Science / Computer Engineering / Embedded Systems / Low Power / Multicore Power Management / Multicore Scalability / Multicore Scheduling / Power Aware Computing
Type Doctoral Dissertation
Extent 223 pages
Language English
Reuse Permissions All Rights Reserved
Note Ph.D. Computer Science 2011
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis