Now showing items 441-460 of 2796

    • Compiling for Software Distributed-Shared Memory Systems 

      Zhang, Kai (2000-04-03)
      In this thesis, we explore the use of software distributed shared memory (SDSM) as a target communication layer for parallelizing compilers. ForSDSM to be effective for this purpose it must efficiently support both regular ...
    • Compiling Parallel Matlab for General Distributions Using Telescoping Languages 

      Fletcher, Mary; Jin, Guohua; Kennedy, Ken; McCosh, Cheryl (2006-10-31)
      Matlab is one of the most popular computer languages for technical and scientific programming. However, until recently, it has been limited to running on uniprocessors. One strategy for overcoming this limitation is to ...
    • Compiling Stencils in High Performance Fortran 

      Brickner, R. Gregg; Kennedy, Ken; Mellor-Crummey, John; Roth, Gerald H. (1997-11-12)
      For many Fortran90 and HPF programs performing dense matrix computations, the main computational portion of the program belongs to a class of kernels known as stencils. Stencil computations are commonly used in solving ...
    • Complex Wavelet Transforms with Allpass Filters 

      Fernandes, Felix; Selesnick, Ivan W.; van Spaendonck, Rutger; Burrus, C. Sidney (2003-08-20)
      Complex discrete wavelet transforms have significant advantages over real wavelet transforms for certain signal processing problems. Two approaches to the implementation of complex wavelet transforms have been proposed ...
    • Complexed Multifunctional Metallic and Chalcogenide Nanostructures as Theranostic Agents 

      Young, Joseph (2013-12-03)
      Nanostructures have attracted substantial attention due to their distinctive properties and various applications. Nanostructures consisting of multiple morphologies and/or materials have recently become the focus of intense ...
    • Complexity Analysis of MMSE Detector Architectures for MIMO OFDM Systems 

      Myllylä, Markus; Hintikka, Juha-Matti; Cavallaro, Joseph R.; Juntti, Markku; Limingoja, Matti; Byman, Aaron (2005-11-01)
      In this paper, a field programmable gate array (FPGA) implementation of a linear minimum mean square error (LMMSE) detector is considered for MIMO-OFDM systems. Two square root free algorithms based on QR decomposition ...
    • Component-based adaptation for mobile computing 

      de Lara, Eyal (2002)
      Component-based adaptation is a novel approach for adapting applications to the limited availability of resources such as bandwidth and power in mobile environments. Component-based adaptation works by calling on the ...
    • Component-Based Adaptation for Mobile Computing 

      Lara, Eyal de (2003-01-25)
      Component-based adaptation is a novel approach for adapting applications to the limited availability of resources such as bandwidth and power in mobile environments. Component-based adaptation works by calling on the ...
    • Composability for Application-Specific Transactional Optimizations 

      Zhang, Rui; Budimlić, Zoran; Scherer, William N., III (2010-01-21)
      Software Transactional Memory (STM) has made great advances towards acceptance into mainstream programming by promising a programming model that greatly reduces the complexity of writing concurrent programs. Unfortunately, ...
    • Composition and Sources of Particulate Matter Measured near Houston, TX: Anthropogenic-Biogenic Interactions 

      Bean, Jeffrey K.; Faxon, Cameron B.; Leong, Yu Jun; Wallace, Henry William; Cevik, Basak Karakurt; Ortiz, Stephanie; Canagaratna, Manjula R.; Usenko, Sascha; Sheesley, Rebecca J.; Griffin, Robert J.; Ruiz, Lea Hildebrandt (2016)
      Particulate matter was measured in Conroe, Texas (~60 km north of downtown Houston, Texas) during the September 2013 DISCOVER-AQ campaign to determine the sources of particulate matter in the region. The measurement site ...
    • Compound Poisson Cascades 

      Chainais , Pierre; Riedi, Rudolf H.; Abry, Patrice (2002-05-01)
      Multiplicative processes and multifractals proved useful in various applications ranging from hydrodynamic turbulence to computer network traffic, to name but two. Placing multifractal analysis in the more general framework ...
    • A Comprehensive Probabilistic Framework to Learn Air Data from Surface Pressure Measurements 

      Srivastava, Ankur; Meade, Andrew J. (2015)
      Use of probabilistic techniques has been demonstrated to learn air data parameters from surface pressure measurements. Integration of numerical models with wind tunnel data and sequential experiment design of wind tunnel ...
    • Compressed Sensing for Imaging Applications 

      Takhar, Dharmpal (2008)
      Compressed sensing is a new sampling theory which allows reconstructing signals using sub-Nyquist measurements. This can significantly reduce the computation re­quired for both image and video whether during acquisition ...
    • Compressing Piecewise Smooth Multidimensional Functions Using Surflets: Rate-Distortion Analysis 

      Chandrasekaran, Venkat; Wakin, Michael; Baron, Dror; Baraniuk, Richard G. (2004-03-01)
      Discontinuities in data often represent the key information of interest. Efficient representations for such discontinuities are important for many signal processing applications, including compression, but standard Fourier ...
    • Compression Color Space Estimation of JPEG Images using Lattice Basis Reduction 

      Neelamani, Ramesh; Baraniuk, Richard G.; de Queiroz, Ricardo (2001-10-01)
      Given a color image that was previously JPEG-compressed in some hidden color space, we aim to estimate this unknown compression color space from the image. This knowledge is potentially useful for color image enhancement ...
    • Compression of Higher Dimensional Functions Containing Smooth Discontinuities 

      Chandrasekaran, Venkat; Wakin, Michael; Baron, Dror; Baraniuk, Richard G. (2004-03-01)
      Discontinuities in data often represent the key information of interest. Efficient representations for such discontinuities are important for many signal processing applications, including compression, but standard Fourier ...
    • Compressive sensing for signal ensembles 

      Duarte, Marco F. (2010)
      Compressive sensing (CS) is a new approach to simultaneous sensing and compression that enables a potentially large reduction in the sampling and computation costs for acquisition of signals having a sparse or compressible ...
    • Compressive Sensing in Positron Emission Tomography (PET) Imaging 

      Valiollahzadeh, Majid (2015-04-16)
      Positron emission tomography (PET) is a nuclear medicine functional imaging modality, applicable to several clinical problems, but especially in detecting the metabolic activity (as in cancer). PET scanners use multiple ...
    • Computation of a Unimodular Matrix 

      Kontos, Athanassios; de Figueiredo, Rui J.P. (1979-12-01)
      An algorithm for computing a unimodular matrix U(λ) satisfying the equation [A(λ) B(λ)] U(λ) = [1 0] is presented where A(λ) and B(λ) are relatively left prime polynomial matrices. ...
    • Computational approaches to species phylogeny inference and gene tree reconciliation 

      Nakhleh, Luay (2013)
      An intricate relationship exists between gene trees and species phylogenies, due to evolutionary processes that act on the genes within and across the branches of the species phylogeny. From an analytical perspective, gene ...