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In recent years we have witnessed a shift towards multi-processor system-on-chips (MPSoCs) to address the demands of embedded devices (such as cell phones, GPS devices, luxury car features, etc.). Highly optimized MPSoCs are well-suited to tackle the complex application demands desired by the end user customer. These MPSoCs incorporate a

In recent years we have witnessed a shift towards multi-processor system-on-chips (MPSoCs) to address the demands of embedded devices (such as cell phones, GPS devices, luxury car features, etc.). Highly optimized MPSoCs are well-suited to tackle the complex application demands desired by the end user customer. These MPSoCs incorporate a constellation of heterogeneous processing elements (PEs) (general purpose PEs and application-specific integrated circuits (ASICS)). A typical MPSoC will be composed of a application processor, such as an ARM Coretex-A9 with cache coherent memory hierarchy, and several application sub-systems. Each of these sub-systems are composed of highly optimized instruction processors, graphics/DSP processors, and custom hardware accelerators. Typically, these sub-systems utilize scratchpad memories (SPM) rather than support cache coherency. The overall architecture is an integration of the various sub-systems through a high bandwidth system-level interconnect (such as a Network-on-Chip (NoC)). The shift to MPSoCs has been fueled by three major factors: demand for high performance, the use of component libraries, and short design turn around time. As customers continue to desire more and more complex applications on their embedded devices the performance demand for these devices continues to increase. Designers have turned to using MPSoCs to address this demand. By using pre-made IP libraries designers can quickly piece together a MPSoC that will meet the application demands of the end user with minimal time spent designing new hardware. Additionally, the use of MPSoCs allows designers to generate new devices very quickly and thus reducing the time to market. In this work, a complete MPSoC synthesis design flow is presented. We first present a technique \cite{leary1_intro} to address the synthesis of the interconnect architecture (particularly Network-on-Chip (NoC)). We then address the synthesis of the memory architecture of a MPSoC sub-system \cite{leary2_intro}. Lastly, we present a co-synthesis technique to generate the functional and memory architectures simultaneously. The validity and quality of each synthesis technique is demonstrated through extensive experimentation.
ContributorsLeary, Glenn (Author) / Chatha, Karamvir S (Thesis advisor) / Vrudhula, Sarma (Committee member) / Shrivastava, Aviral (Committee member) / Beraha, Rudy (Committee member) / Arizona State University (Publisher)
Created2013
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Description
This dissertation explores the megamachine, a prominent metaphor in American humanist and philosopher of technology, Lewis Mumford's Myth of the Machine series. The term refers critically to dynamic, regimented human capacities that drive scientific and technical innovation in society. Mumford's view of the nature of collectives focuses on qualities and

This dissertation explores the megamachine, a prominent metaphor in American humanist and philosopher of technology, Lewis Mumford's Myth of the Machine series. The term refers critically to dynamic, regimented human capacities that drive scientific and technical innovation in society. Mumford's view of the nature of collectives focuses on qualities and patterns that emerge from the behavior of groups, societies, systems, and ecologies. It is my aim to reenergize key concepts about collective capacities drawn from Lewis Mumford's critique of historical and modern sociotechnical arrangements. I investigate the possibility of accessing those capacities through improved design for Technology Assessment (TA), formal practices that engage experts and lay citizens in the evaluation of complex scientific and technical issues.

I analyze the components of Mumford's megamachine and align key concerns in two pivotal works that characterize the impact of collective capacities on society: Bruno Latour's Pasteurization of France (1988) and Elias Canetti's Crowds and Power (1962). As I create a model of collective capacities in the sociotechnical according to the parameters of Mumford's megamachine, I rehabilitate two established ideas about the behavior of crowds and about the undue influence of technological systems on human behavior. I depart from Mumford's tactics and those of Canetti and Latour and propose a novel focus for STS on "sociotechnical crowds" as a meaningful unit of social measure. I make clear that Mumford's critique of the sociotechnical status quo still informs the conditions for innovation today.

Using mixed mode qualitative methods in two types of empirical field studies, I then investigate how a focus on the characteristics and components of collective human capacities in sociotechnical systems can affect the design and performance of TA. I propose a new model of TA, Emergent Technology Assessment (ETA), which includes greater public participation and recognizes the interrelationship among experience, affect and the material in mediating the innovation process. The resulting model -- the "soft" megamachine --introduces new strategies to build capacity for responsible innovation in society.
ContributorsGano, Gretchen (Author) / Guston, David (Thesis advisor) / Miller, Clark (Thesis advisor) / Selin, Cynthia (Committee member) / Wetmore, Jameson (Committee member) / Arizona State University (Publisher)
Created2014
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Description
The quality and quantity of talented members of the US STEM workforce has

been a subject of great interest to policy and decision makers for the past 40 years.

Recent research indicates that while there exist specific shortages in specific disciplines

and areas of expertise in the private sector and the federal government,

The quality and quantity of talented members of the US STEM workforce has

been a subject of great interest to policy and decision makers for the past 40 years.

Recent research indicates that while there exist specific shortages in specific disciplines

and areas of expertise in the private sector and the federal government, there is no

noticeable shortage in any STEM academic discipline, but rather a surplus of PhDs

vying for increasingly scarce tenure track positions. Despite the seeming availability

of industry and private sector jobs, recent PhDs still struggle to find employment in

those areas. I argue that the decades old narrative suggesting a shortage of STEM

PhDs in the US poses a threat to the value of the natural science PhD, and that

this narrative contributes significantly to why so many PhDs struggle to find career

employment in their fields. This study aims to address the following question: what is

the value of a STEM PhD outside academia? I begin with a critical review of existing

literature, and then analyze programmatic documents for STEM PhD programs at

ASU, interviews with industry employers, and an examination the public face of value

for these degrees. I then uncover the nature of the value alignment, value disconnect,

and value erosion in the ecosystem which produces and then employs STEM PhDs,

concluding with specific areas which merit special consideration in an effort to increase

the value of these degrees for all stakeholders involved.
ContributorsGarbee, Elizabeth (Author) / Maynard, Andrew D. (Thesis advisor) / Wetmore, Jameson (Committee member) / Anderson, Derrick (Committee member) / Arizona State University (Publisher)
Created2018
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Description
This dissertation examines the use of social media technologies by US local governments for internal and external collaboration. Collaboration is defined as the process of working together, pooling resources, sharing information and jointly making decisions to address common issues. The need for greater collaboration is evident from numerous examples in

This dissertation examines the use of social media technologies by US local governments for internal and external collaboration. Collaboration is defined as the process of working together, pooling resources, sharing information and jointly making decisions to address common issues. The need for greater collaboration is evident from numerous examples in which public agencies have failed to effectively collaborate and address complex challenges. Meanwhile, the rise of social computing promises the development of ‘cultures of participation’ that enhance collaborative learning and knowledge production as part of everyday work. But beyond these gaps and expectations, there has been little systematic empirical research investigating the use of these powerful and flexible technologies for collaboration purposes. In line with prior research, my dissertation draws on sociotechnical and resource dependence theoretical approaches to examine how the interaction between technological and social context of an organization determine the adoption and use of a technology for a task. However, in a break with prior work that often aggregates social media technologies as one class of technology, this dissertation theorizes different classes of social media based on their functionality and purpose. As a result, it develops more explicit means by which organization, technical, and environmental context matter for effective collaboration. Based on the aforementioned theoretical approaches, the dissertation develops a theoretical model and several hypotheses, which it tests using a unique 2012 national survey of local governments in the US conducted by the Center for Science, Technology and Environmental Policy Studies at ASU. Overall, the findings of this dissertation highlight that the adoption and use of social media technologies for collaboration purposes can be understood as an outcome of stakeholder participation, innovativeness, and social media type. Insights from this dissertation contribute both to our theoretical understanding about social media technology adoption and use in government and provide useful information for agencies.
ContributorsKrishnamurthy, Rashmi (Author) / Welch, Eric W (Thesis advisor) / Desouza, Kevin C (Committee member) / Feeney, Mary (Committee member) / Moon, M Jae (Committee member) / Arizona State University (Publisher)
Created2016