- About
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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
Search results
Showing 1 to 4 of 4 (0.096 seconds)| 1 |
Exploring the potential of a hierarchical computing model for a commercial serverRubio, Juan Carlos 26 May 2010 (has links)
Not available / text
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GME-MOF an MDA metamodeling environment for GME /Emerson, Matthew Joel. January 2005 (has links)
Thesis (M. S. in Computer Science)--Vanderbilt University, May 2005. / Title from title screen. Includes bibliographical references.
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Harmony: an execution model for heterogeneous systemsDiamos, Gregory Frederick 10 November 2011 (has links)
The emergence of heterogeneous and many-core architectures presents a
unique opportunity to deliver order of magnitude performance
increases to high performance applications by matching certain classes
of algorithms to specifically tailored architectures. However, their
ubiquitous adoption has been limited by a lack of
programming models and management frameworks designed to reduce the
high degree of complexity of software development inherent to
heterogeneous architectures. This dissertation introduces Harmony, an execution
model for heterogeneous systems that draws heavily from concepts and
optimizations used in processor micro-architecture to provide:
(1) semantics for simplifying heterogeneity management, (2) dynamic scheduling
of compute intensive kernels to heterogeneous processor resources, and
(3) online monitoring driven performance optimization for heterogeneous many
core systems. This work focuses on simplifying development and ensuring binary
portability and scalability across system configurations and sizes.
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Evolutionary membrane computing: A comprehensive survey and new resultsZhang, G., Gheorghe, Marian, Pan, L.Q., Perez-Jimenez, M.J. 19 April 2014 (has links)
No / Evolutionary membrane computing is an important research direction of membrane computing that aims to explore the complex interactions between membrane computing and evolutionary computation. These disciplines are receiving increasing attention. In this paper, an overview of the evolutionary membrane computing state-of-the-art and new results on two established topics in well defined scopes (membrane-inspired evolutionary algorithms and automated design of membrane computing models) are presented. We survey their theoretical developments and applications, sketch the differences between them, and compare the advantages and limitations. (C) 2014 Elsevier Inc. All rights reserved.
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