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Constrained Energy Optimization in Heterogeneous Platforms using Generalized Scaling Models

Abstract Mobile platforms are becoming highly heterogeneous by combining a powerful multiprocessor system-on-chip (MpSoC) with numerous resources including display, memory, power management IC (PMIC), battery and wireless modems into a compact package. Furthermore, the MpSoC itself is a heterogeneous resource that integrates many processing elements such as CPU cores, GPU, video, image, and audio processors. As a result, optimization approaches targeting mobile computing needs to consider the platform at various levels of granularity.

Platform energy consumption and responsiveness are two major considerations for mobile systems since they determine the battery life and user satisfaction, respectively. In this work, the models for power consumption,... (more)
Created Date 2014
Contributor Gupta, Ujjwal (Author) / Ogras, Umit Y. (Advisor) / Ozev, Sule (Committee member) / Chakrabarti, Chaitali (Committee member) / Arizona State University (Publisher)
Subject Electrical engineering / Computer engineering / Energy consumption / Mobile platoforms / MpSoC / Optimization
Type Masters Thesis
Extent 91 pages
Language English
Reuse Permissions All Rights Reserved
Note Masters Thesis Electrical Engineering 2014
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis