Thesis (M.E.E.)--University of Delaware, 2007. / Principal faculty advisor: Guang R. Gao, Dept. of Electrical and Computer Engineering. Includes bibliographical references.

Thesis (doctoral)--University of Oulu, 2007. / Includes bibliographical references. Also available on the World Wide Web.

Thesis (Ph.D.)--University of Wollongong, 2006. / Error in title on title page. Typescript. Includes bibliographical references: leaf 233-240.

Thesis(M.S.)--Auburn University, 2007. / Abstract. Includes bibliographic references (p.64-66).

Thesis (Ph. D.)--University of Alabama at Birmingham, 2009. / Additional advisors: Barrett Bryant, Aniruddha Gokhale, Marjan Mernik, Chengcui Zhang. Description based on contents viewed June 3, 2009; title from PDF t.p. Includes bibliographical references (p. 161-177).

Thesis (M.S. in computer engineering)--Washington State University, December 2005. / Includes bibliographical references (p. 60-61).

Thesis (M.Eng.)--Memorial University of Newfoundland, 2003. / Bibliography: leaves 105-109.

Thesis (MS)--Montana State University--Bozeman, 2010. / Typescript. Chairperson, Graduate Committee: Brock LaMeres. Includes bibliographical references (leaves 59-63).

Allocation of expensive resources, (such as Multiplier) onto the CGRA has been of interest from quite some time. For these architectural solutions to fulfill the designers' requirements, it is of utmost importance that the design offers high performance, low power consumption, and effective area utilization. The allocation problem is studied using the UntangledII gaming environment, which has been developed at the Reconfigurable Computing Lab at UNT to discover the design of custom domain-specific architectures. This thesis explores several case-studies to investigate the arrangement of functional units and interconnects to achieve a low power, high performance, and flexible heterogeneous designs that can fit for a suite of applications. In the later part, several human mapping strategies of top and bottom players to design a custom domain-specific architecture are presented. Some common trends that were examined while analyzing the mapping strategies of the players are also discussed.

Developing applications for distributed adaptive computing systems (ACS) requires developers to have knowledge of both parallel computing and configurable computing. Furthermore, portability and scalability are required for developers to use innovative ACS research directly in deployed systems. This thesis presents an Application Programming Interface (API) implementation developed in a scalable parallel ACS system. The API gives the developer the ability to easily control both single board and multi-board systems in a network cluster environment. The API implementation is highly portable and scalable, allowing ACS researchers to easily move from a research system to a deployed system. The thesis details the design and implementation of the API, as well as analyzes its performance. / Master of Science