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GRAPHICS PROCESSING UNIT GPU RESEARCH PAPERS




A fully data parallel WFST-based large vocabulary continuous speech recognition on agraphics processing unit.
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Abstract Tremendous compute throughput is becoming available in personal desktop and laptop systems through the use of graphics processing units (GPUs). However, exploiting this resource requires re-architecting an application to fit a data parallel programming

Audio and the graphics processing unit
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Abstract In recent years, the development of programmable graphics pipelines has placed the power of parallel computation in the hands of consumers. Systems developers are now paying attention to the general purpose computational ability of these graphics processor

Local binary pattern based texture analysis in real time using a graphics processing unit
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Abstract This paper presents a novel implementation of the Local Binary Pattern (LBP) texture analysis operator on a consumer-grade graphical processing unit (GPU), which yields a 14 to 18-fold run time reduction compared to standard CPU implementations. The

Fast calculation of HELAS amplitudes using graphics processing unit (GPU)
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K Hagiwara, J Kanzaki, N Okamura The European Physical 2010 Springer ABSTRACT We use the graphics processing unit (GPU) for fast calculations of helicity amplitudes of physics processes. As our first attempt, we compute (n= 2 to 8) processes in pp collisions at TeV by transferring the MadGraph generated HELAS amplitudes (

Some of the what, why, how, who and where of graphics processing unit computing for Bayesian analysis
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Over the last 20 years or so, a number of Bayesian researchers and groups have invested a good deal of time, effort and money in parallel computing for Bayesian analysis. The growth of small research group to institutionally supported cluster computational facilities has

Stochastic simulation of biochemical systems on the graphics processing unit
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Abstract Motivation: In biological systems formed by living cells, the small populations of some reactant species can result in inherent randomness which cannot be captured by traditional deterministic approaches. In that case, a more accurate simulation can be

Calculation of HELAS amplitudes for QCD processes using graphics processing unit (GPU)
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Abstract We use a graphics processing unit (GPU) for fast calculations of helicity amplitudes of quark and gluon scattering processes in massless QCD. New HEGET (HELAS Evaluation with GPU Enhanced Technology) codes for gluon self-interactions are introduced, and a

Fast feature detection with a graphics processing unit implementation
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Abstract. We present a fast feature detector that uses the Graphics Processing Unit (GPU) to extract distinctive features from an image, which are suitable for reliable matching between different views of an object or a scene. This detector is a particularly useful tool for the

Graphics processing unit computation of neural networks
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Abstract This thesis outlines, discusses, and presents several artificial neural network architectures that are amenable to execution on a Graphical Processing Unit. Traits are identified that lead to good or poor performance of the artificial neural network simulation. ix

A fair-share scheduler for the graphics processing unit
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GPUs have been growing in power to cater to the demand created by a multi-billion dollar computer gaming industry. Modern GPUs now have more transistors than recent multi-core CPUs . Table 1 shows a comparison of an NVIDIA GeForce GTX 280 GPU with Intel

Development of a new methodology for improving urban fast response lagrangian dispersion simulation via parallelism on the graphics processing unit
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Recent trends in computing have shifted toward multi-core processors and programmable graphics processors with highly parallel data paths for processing geometry and pixels. Multi- core machines are now readily available with 2 cores, but machines with 4, 8, and even

Real-time geometric lens distortion correction using a graphics processing unit
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Abstract. Optical imaging systems often suffer from distortion artifacts which impose important limitations on the direct interpretation of the images. It is possible to correct for these aberrations through image processing, but due to their calculation-intensive nature,

Versatile higher-order reconstruction accelerated by a graphics processing unit (GPU)
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The image reconstruction is implemented by solving the linear system given by Eq. 1 for the unknown image ?, given the signal s and using a conjugate gradient (CG) algorithm. r is the coordinate vector of image points, t is the time vector of the signal

Central processing unit/graphics processing unit (CPU/GPU) hybrid computing of synthetic aperture radar algorithm
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SJ Park, DR Shires 2010 arl.army.mil 14. ABSTRACT Graphics Processing Unit's (GPU's) powerful compute engine is leveraged to enhance the stand-alone capability of a central processing unit (CPU). Synthetic Aperture Radar (SAR) algorithm is analyzed and implemented to execute on a system equipped

Implementation of cellular automata using a graphics processing unit
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J Singler Purpose Computing on Graphics Processors, pages C 2004 jsingler.de Results As a result, automata that only have a small number of states like the Game of Life or WireWorld (which proves the Turing completeness of this approach) do not perform well. The simulation on a CPU benefits even more from massive parallelization through bit

Graphics Processing Unit (GPU) implementation of image processing algorithms to improve system performance of the Control, Acquisition, Processing, and Image
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Abstract We present the image processing upgrades implemented on a Graphics Processing Unit (GPU) in the Control, Acquisition, Processing, and Image Display System (CAPIDS) for the custom Micro-Angiographic Fluoroscope (MAF) detector. Most of the

Efficient texture classification using local binary patterns on graphics processing unit
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ABSTRACT We explore a novel implementation of rotation invariant texture classification using a Graphics Processing Unit (GPU). A new descriptor called the RMB-LBP is introduced. Tests using various other Local Binary Pattern (LBP) algorithms were also

Automatic Digital Surface Modeling using a Graphics Processing Unit
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D van der Merwe, J Meyer Proceedings of the Southern Africa 2009 satnac.org.za ABSTRACT Digital Surface Models (DSM) are widely used in the earth sciences. There are a number of methods for automatic DSM generation from satellite imagery, each of which has its own strengths and weaknesses, none of which are perfect. The generation of DSMs ..

On using a graphics processing unit to solve the closest substring problem
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ABSTRACT Finding a string that is close to another is a common dilemma in computational molecular biology and many other fields. The problem comes in two varieties; closest string (CSP), and closest substring (CSSP). The computational complexity increases

Graphics Processing Unit
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Michael Doggett Graphics Architecture Group Challenges for GPU Architecture 2 Graphics Processing Unit Architecture – CPUs vs GPUs – AMD's ATI RADEON 2900 Programming – Brook+, CAL, ShaderAnalyzer Architecture Challenges

Hardware accelerated design of millimeter wave antireflective surfaces: a comparison of field-programmable gate array (FPGA) and graphics processing unit (
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ABSTRACT Engineered materials that demonstrate a specific response to electromagnetic energy incident on them in antenna and radio frequency component design applications are in high demand due to both military and commercial needs. The design of such

A Canonical Implementation Of The Advanced Encryption Standard On The Graphics Processing Unit
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Abstract This paper will present an implementation of the Advanced Encryption Standard (AES) on the graphics processing unit (GPU). It investigates the ease of implementation from first principles and the difficulties encountered. It also presents a performance analysis to

Multiview Rendering on a Graphics Processing Unit
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ABSTRACT We present a rendering algorithm for driving a multiview display device. The algorithm is based on micropolygon displacement mapping. It generates a set of mutually disparate images, which effectively simulate different camera positions. For the input we

Efficient parallel simulation of an individual-based fish schooling model on a graphics processing unit
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Abstract Due to their low cost and high performance processing capabilities, graphics processing units (GPUs) have become an attractive alternative to clusters for some scientific computing applications. In this paper we show how stochastic simulation of an individual-

A Parallel Algorithm for Fast Edge Detection on the Graphics Processing Unit
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Abstract Often, it is a race against time to make a proper diagnosis of a disease. In areas of the world where qualified medical personnel are scarce, work is being done on the automated diagnosis of illnesses. Automated diagnosis involves several stages of image

Rapid Training of Acoustic Models Using Graphics Processing Unit.
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Abstract Robust and accurate speech recognition systems can only be realized with adequately trained acoustic models. For common languages, state-of-the-art systems are now trained on thousands of hours of speech data. Even with a large cluster of machines

Generic Computing on a Graphics Processing Unit
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Abstract With the increasing demand for better, more realistic and more detailed graphics, more and more effort and money is put into improving the Graphics Processing Unit (GPU) in a computer. As a result of this, the GPU has become a very powerful computing unit with

SOLVING QUADRATIC PROGRAMMING PROBLEMS ON GRAPHICS PROCESSING UNIT
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Abstract Quadratic Programming (QP) problems frequently appear as core component when solving constrained optimal control or estimation problems. The focus of this paper is on accelerating an existing Interior Point Method (IPM) for solving QP problems by exploiting

Scientific Computation on Graphics Processing Unit using CUDA
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Abstract The Partial Differential Equations (PDEs) play major role in mathematical modeling of problems in engineering and science. The engineering disciplines such as electro- magnetics and fluid dynamics use PDEs heavily and development of products in these

Ultra-high resolution atmospheric global circulation model NICAM on graphics processing unit
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ABSTRACT Climate simulations have significant role in analyzing changes that have occurred in the Earth, give us better understanding of the recently happened processes. Most of the existing models perform approximate results and fundamental improvements of the

Graphics Processing Unit Utilization in Circuit Simulation
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Graphics processing units (GPU) of today include hundreds of multi-threaded, multicore processors and a complex, high-bandwidth memory architecture, making them a good alternative to speed up general-purpose parallel computation where large data quantities

Architecture of a Graphics Floating-Point Processing Unit with Multi-Word Load and Selective Result Store Mechanisms
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We have proposed a graphics floating-point processing unit (G-FPU) with 48% reduction of hardware for a conventional processing unit that has both functions of a SIMD- type execution unit dedicated for multiply-accumulate operations and a general-purpose

Combined Division/Square-Root/Reciprocal Square-Root Unit for 3D Graphics GeometryProcessing
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Abstract In this work we present a unit for combined vector division, square–root and vector reciprocal square–root, suited for 3D graphics geometry processing. The algorithms are based on multiplicative decomposition and selection of the digits using rounding. In

Utilization of graphics processing unit in sound source localization based on digital beamforming
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ABSTRACT Paper deals with utilization of graphics processing unit (GPU) in sound source localization system which is based on digital beamforming. Due to principle of beamformer operation its localization accuracy increases with increasing number of microphone units

Accelerating Protein-Protein Docking using a Graphics Processing Unit (GPU)
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Abstract. Solving the structure of protein-protein complexes is one of the most important tasks in structural biology. Even though there has been great progress in recent years there still a small number of protein complexes structures deposited in the Protein Data Bank in

USING GRAPHICS PROCESSING UNIT TO ACCELERATE DATABASE QUERY EXECUTION
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K KSIAZEK, P SAPIECHA Information Systems Architecture and Technology dbc.wroc.pl One of the major problems in database management systems is handling large amounts of data while providing short response time. Problem is not only proper manner of storing records but also efficient way of processing them. In the meantime GPUs developed

Accelerated Solution of One-Dimensional Neutron Transport on General Purpose Graphics Processing Unit
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This talk will address the accelerated solution of the time independent Boltzmann equation for modeling neutron transport in one-dimensional spherical geometry using the discrete ordinates method on general purpose graphics processing unit (GPGPU). These have

A Generic Framework for Implementing Real-Time Stereo Matching Algorithms on theGraphics Processing Unit
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REAL–TIME GRAPHICS PROCESSING UNIT BASED ULTRASOUND ELASTOGRAPHY
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In NCC Elastography, we compare small windows of RF data in compressed and uncompressed images.? NCC for each window comparison is done on separate threads of GPU which can run in parallel on hundreds of core of GPU offering parallelism.

Graphics Processing Unit Audio Signals Processing in Pure Data and PdCUDA an Implementation with the CUDA Runtime API
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Abstract The design of graphics processing unit (GPU) audio signals processing extensions to Pure Data (Pd) is discussed with attention to future growth in GPU computing and the complexity of programming a general solution. An implementation named PdCUDA is

Fast Holographic Image Reconstruction using Graphics Processing Unit
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ABSTRACT Although recent holographic image capturing technology produces high resolution and high-fidelity images, reconstruction technology is yet to be fully developed. Digital reconstructions of optically captured holograms are highly expensive in terms of

GENETIC ALGORITHM ON GENERAL PURPOSE GRAPHICS PROCESSING UNIT: PARALLELISM REVIEW
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Abstract Genetic Algorithm (GA) is effective and robust method for solving many optimization problems. However, it may take more runs (iterations) and time to get optimal solution. The execution time to find the optimal solution also depends upon the niching-technique

Parallel Implementations of Detection Algorithms for MIMO Systems on The Graphics Processing Unit
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Abstract In this thesis, the acceleration of detection algorithms for multiple-input multipleoutput (MIMO) wireless systems is investigated. First we use the graphics processing unit (GPU), which provides thousands of parallel threads, to accelerate our detectors. The

Graphics Processing Unit acceleration of a memetic algorithm for the Examination Timetabling Problem
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In this paper, we present experimental results from the use of Graphics Processing Units (GPUs) as an accelerator for the solution of the uncapacitated examination timetabling problem (uETP). To test the implementation of the proposed algorithm we use the Toronto

Implementing Wide Baseline Matching Algorithms on a Graphics Processing Unit
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DS Myers, AI Gonzales, FH Rothganger, KW Larson prod.sandia.gov ABSTRACT Wide baseline matching is the state of the art for object recognition and image registration problems in computer vision. Though effective, the computational expense of these algorithms limits their application to many real-world problems. The performance of

An acceleration of the algorithm for the nurse rerostering problem on a graphics processing unit
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Abstract. This paper deals with the Nurse Rerostering Problem (NRRP) performed by a parallel algorithm on a Graphics Processing Unit (GPU). This problem is focused on rescheduling of human resources in healthcare, when a roster is disrupted by unexpected

A High Performance, Agent-Based Simulation of Old World Screwworm Fly Lifecycle and Dispersal using a Graphics Processing Unit (GPU) Platform
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ABSTRACT The Old World Screwworm Fly (OWSWF), Chrysomya bezziana, is an insect pest that is endemic to the tropical regions of Asia, the Middle East and Africa. The insect reproduces by laying its eggs in open wounds and mucus membranes of warm blooded

MODELING OF SPLIT STEP PARABOLIC WAVE EQUATION USING THE GRAPHICS PROCESSING UNIT
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MODELING OF SPLIT STEP PARABOLIC WAVE EQUATION USING THE GRAPHICS PROCESSING UNIT Page 2. Page 3. Approval of the thesis: MODELING OF SPLIT STEP PARABOLIC WAVE EQUATION USING THE GRAPHICS PROCESSING UNIT

Channelization and Resampling Using a Graphics Processing Unit
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A Slone, P Otto, A Kuraishi llwww.ll.mit.edu Channelization and resampling of digital signals are common elements in a wide range of signal processing applications. Depending upon the requirements of the system, these basic tasks can consume a significant portion of the overall system computation budget, and can

Area-delay trade-offs of texture decompressors for a graphics processing unit
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Abstract Graphics Processing Units have become a booster for the microelectronics industry. However, due to intellectual property issues, there is a serious lack of information on implementation details of the hardware architecture that is behind GPUs. For instance,

Optimized Private Information Retrieval Protocol Using Graphics Processing Unit With Reduced Accessibility
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Abstract Database outsourcing as a service is a new trend emerging in the computing industry instead of managing database in-house. This introduces several security issues related to database. One of the important security requirement is privacy. A Private

Realtime Wavelet Video Encoding with Generic Graphics Processing Unit
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ABSTRACT Wavelet video encoding with multi-resolution analysis is the base for a layered coding scheme. From one video source streams of different resolutions can be generated in one coding process. To reduce computing time the graphics processing unit (GPU) of a

Parallel Data Mining Techniques on Graphics Processing Unit with CUDA
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Our experiments demonstrate our proposed techniques work efficiently, and our toolkit also indicates that GPU+ CUDA parallel architecture is feasible and promising for data mining applications. Novelty: Our work is the first to propose a parallel distributed top-k scheme

Identification of vortices in flow using Graphics Processing Unit (GPU)
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Graphics Processing Units (GPU) has evolved under pressure of computer games into very powerful though highly specialized chips with many cores used for fast rendering of images–pixels independent, single precision, specific datatypes? early General-purpose

AN IMPLEMENTATION OF THE QR DECOMPOSITION OF REAL MATRICES ON AGRAPHICS PROCESSING UNIT
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Abstract. Graphic processing units provide a low-cost parallel computing architecture. Only recently emerged their employment in scientific computation as an area of research. We present an implementation of the QR decomposition on the NVDIA GeForce 8800 GT unit

DYNAMICAL HOLOGRAM GENERATION ON THE GRAPHICS PROCESSING UNIT FOR HIGH SPEED OPTICAL TRAPPING
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Dynamical hologram generation can be realised in a number of different ways, in particular those that utilise twisted nematic or ferroelectric devices have been used in microscopy for aberration correction or holographic optical tweezers [1-2]. Furthermore, recently

Hit-or-miss Transformation Implementation on Graphics Processing Unit
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ABSTRACT The hit-or-miss transformation (HMT), a binary matching between an image and a structuring element, is a morphological operator. It has become a useful tool for shape detection. However, the HMT processing time is too expensive in real applications. To use

Simulating Self Gravitating Planetesimal Disks on the Graphics Processing Unit (GPU)
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Abstract Planetesimal and dust dynamical simulations require computations of many gravitational force pairs as well as collision and nearest neighbor detection. These are order N2 or O (N2) computations for N the number of particles. I describe an efficient parallel

Massively Parallel Latent Semantic Analyses using a Graphics Processing Unit
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Abstract Latent Semantic Indexing (LSA) aims to reduce the dimensions of large Term- Document datasets using Singular Value Decomposition. However, with the ever expanding size of data sets, current implementations are not fast enough to quickly and easily


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