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Multicore processors have proliferated in nearly all forms of computing, from servers, desktop, to smartphones. The primary reason for this large adoption of multicore processors is due to its ability to overcome the power-wall by providing higher performance at a lower power consumption rate. With multi-cores, there is increased need

Multicore processors have proliferated in nearly all forms of computing, from servers, desktop, to smartphones. The primary reason for this large adoption of multicore processors is due to its ability to overcome the power-wall by providing higher performance at a lower power consumption rate. With multi-cores, there is increased need for dynamic energy management (DEM), much more than for single-core processors, as DEM for multi-cores is no more a mechanism just to ensure that a processor is kept under specified temperature limits, but also a set of techniques that manage various processor controls like dynamic voltage and frequency scaling (DVFS), task migration, fan speed, etc. to achieve a stated objective. The objectives span a wide range from maximizing throughput, minimizing power consumption, reducing peak temperature, maximizing energy efficiency, maximizing processor reliability, and so on, along with much more wider constraints of temperature, power, timing, and reliability constraints. Thus DEM can be very complex and challenging to achieve. Since often times many DEMs operate together on a single processor, there is a need to unify various DEM techniques. This dissertation address such a need. In this work, a framework for DEM is proposed that provides a unifying processor model that includes processor power, thermal, timing, and reliability models, supports various DEM control mechanisms, many different objective functions along with equally diverse constraint specifications. Using the framework, a range of novel solutions is derived for instances of DEM problems, that include maximizing processor performance, energy efficiency, or minimizing power consumption, peak temperature under constraints of maximum temperature, memory reliability and task deadlines. Finally, a robust closed-loop controller to implement the above solutions on a real processor platform with a very low operational overhead is proposed. Along with the controller design, a model identification methodology for obtaining the required power and thermal models for the controller is also discussed. The controller is architecture independent and hence easily portable across many platforms. The controller has been successfully deployed on Intel Sandy Bridge processor and the use of the controller has increased the energy efficiency of the processor by over 30%
ContributorsHanumaiah, Vinay (Author) / Vrudhula, Sarma (Thesis advisor) / Chatha, Karamvir (Committee member) / Chakrabarti, Chaitali (Committee member) / Rodriguez, Armando (Committee member) / Askin, Ronald (Committee member) / Arizona State University (Publisher)
Created2013
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Many different levels of government, organizations, and programs actively shape the future of energy in Arizona, a state that lacks a comprehensive energy plan. Disparate actions by multiple actors may slow the energy policy process rather than expedite it. The absence of a state energy policy or plan raises questions

Many different levels of government, organizations, and programs actively shape the future of energy in Arizona, a state that lacks a comprehensive energy plan. Disparate actions by multiple actors may slow the energy policy process rather than expedite it. The absence of a state energy policy or plan raises questions about how multiple actors and ideas engage with state energy policy development and whether the absence of a comprehensive state plan can be understood. Improving how policy development is conceptualized and giving more focused attention to the mechanisms by which interested parties become involved in shaping Arizona energy policy. To explore these questions, I examine the future energy efficiency. Initially, public engagement mechanisms were examined for their role in policy creation from a theoretical perspective. Next a prominent public engagement forum that was dedicated to the topic of the Arizona's energy future was examined, mapping its process and conclusions onto a policy process model. The first part of this thesis involves an experimental expert consultation panel which was convened to amplify and refine the results of a public forum. The second part utilizes an online follow up survey to complete unfinished ideas from the focus group. The experiment flowed from a hypothesis that formal expert discussion on energy efficiency policies, guided by the recommendations put forth by the public engagement forum on energy in Arizona, would result in an increase in relevance while providing a forum for interdisciplinary collaboration that is atypical in today's energy discussions. This experiment was designed and evaluated utilizing a public engagement framework that incorporated theoretical and empirical elements. Specifically, I adapted elements of three methods of public and expert engagement used in policy development to create a consultation process that was contextualized to energy efficiency stakeholders in Arizona and their unique constraints. The goal of the consultation process was to refine preferences about policy options by expert stakeholders into actionable goals that could achieve advancement on policy implementation. As a corollary goal, the research set out to define implementation barriers, refine policy ideas, and operationalize Arizona-centric goals for the future of energy efficiency.
ContributorsBryck, Drew (Author) / Graffy, Elisabeth A. (Thesis advisor) / Dalrymple, Michael (Committee member) / Miller, Clark (Committee member) / Arizona State University (Publisher)
Created2013