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Showing 1 to 13 of 13 for “"Graphic Processing Units"”.

  1. Combustion Simulations Using Graphic Processing Units

    <p>Graphic processing units (GPUs) are powerful graphics engines featuring high levels of parallelism and extreme memory bandwidth, which constitute a powerful computing platform to solve complex problems involving chemically reacting flows. In the present study, computer programs for combustion …

    uconn-diss Repository record for Combustion Simulations Using Graphic Processing Units (opens in a new tab)

  2. Parallel implementations of probabilistic latent semantic analysis on graphic processing units

    … of text mining. Recently, the general purpose graphic processing units (GPGPU) have become a powerful parallel computing platform, not only because of GPU's multi-core structure and high memory bandwidth, but also because of the recent efforts devoted into building a programming framework to …

    uiuc Repository record for Parallel implementations of probabilistic latent semantic analysis on graphic processing units (opens in a new tab)

  3. Acceleration of parasitic multistatic radar system using GPGPU

    … of PMR [Parasitic Multistatic Radar] signal processing chain in the GPGPU [General Purpose Graphic Processing Units] platform. The primary objective of the project is to accelerate the signal processing chain without compromising the algorithm efficiency and to prove that GPGPUs are a …

    cape-town Repository record for Acceleration of parasitic multistatic radar system using GPGPU (opens in a new tab)

  4. Exponential integrators: tensor structured problems and applications

    … architectures such as multi-core Central Processing Units (CPUs) and Graphic Processing Units (GPUs). The results globally show the effectiveness and the superiority of the different approaches proposed.

    trento Repository record for Exponential integrators: tensor structured problems and applications (opens in a new tab)

  5. Strategies For Recycling Krylov Subspace Methods and Bilinear Form Estimation

    … the implementation of Krylov subspace methods on Graphic Processing Units (GPUs). Since preconditioners based on incomplete matrix factorization (ILU, Cholesky) are very slow on the GPUs, we develop a preconditioner that is effective but well suited for GPU implementation.

    vt Repository record for Strategies For Recycling Krylov Subspace Methods and Bilinear Form Estimation (opens in a new tab)

  6. Optimizing Lempel-Ziv Factorization for the GPU Architecture

    … schemes. General purpose computing on graphic processing units (GPGPUs) allows us to take advantage of the massively parallel nature of GPUs for computations other that their original purpose of rendering graphics. Our work targets the use of GPUs for general lossless data compression. …

    calpoly Repository record for Optimizing Lempel-Ziv Factorization for the GPU Architecture (opens in a new tab)

  7. Comparison of distributed training architecture for convolutional neural network in cloud

    … fields such as computer vision, natural language processing and data mining. The training process of the DNN is a computationally intensive application that can be accelerated by parallel computing devices such as graphic processing units (GPUs) and field programmable gate arrays (FP- GAs). …

    uiuc Repository record for Comparison of distributed training architecture for convolutional neural network in cloud (opens in a new tab)

  8. Aerial reconstructions via probabilistic data fusion

    … thesis has shown how to leverage the power of graphic processing units (GPUs) and parallel programming to allow fast inference. Achieving real time rendering of scenes with hundreds of thousands of geometric primitives and inferring latent appearance, camera pose and geometry in the order of …

    mit Repository record for Aerial reconstructions via probabilistic data fusion (opens in a new tab)

  9. Three-Dimensional Photoacoustic Computed Tomography: Imaging Models and Reconstruction Algorithms

    … we develop parallel implementations on graphic processing units. In addition, we derive a fast Fourier-transform based analytical image reconstruction formula. By use of iterative image reconstruction algorithms based on the proposed imaging models, PACT imaging scanners can have a …

    wustl Repository record for Three-Dimensional Photoacoustic Computed Tomography: Imaging Models and Reconstruction Algorithms (opens in a new tab)

  10. Gigahertz-Range Multiplier Architectures Using MOS Current Mode Logic (MCML)

    … intensive circuits such as real time signal processing and arithmetic systems. The increasing demand in speed for floating-point co-processors, graphic processing units, CDMA systems and DSP chips has shaped the need for high-speed multipliers. The focus of our research for modern digital …

    vt Repository record for Gigahertz-Range Multiplier Architectures Using MOS Current Mode Logic (MCML) (opens in a new tab)

  11. Fast and Scalable Architectures and Algorithms for the Computation of the Forward and Inverse Discrete Periodic Radon Transform with Applications to 2D Convolutions and Cross-Correlations

    … of a wide range of applications in image processing, e.g. image denoising, image restoration, texture analysis, line detection, encryption, compressive sensing and reconstructing objects from projections in computed tomography and magnetic resonance imaging. A popular method to obtain the …

    unm Repository record for Fast and Scalable Architectures and Algorithms for the Computation of the Forward and Inverse Discrete Periodic Radon Transform with Applications to 2D Convolutions and Cross-Correlations (opens in a new tab)

  12. Reliability Enhancement in GPU Architectures

    L'abstract è presente nell'allegato / the abstract is in the attachment

    poli-torino Repository record for Reliability Enhancement in GPU Architectures (opens in a new tab)

  13. GPU-enhanced power flow analysis

    This thesis addresses the utilization of Graphics Processing Units (GPUs) to improve the Power Flow (PF) analysis of modern power systems. GPUs are powerful vector co-processors that have been very useful in the acceleration of several computational intensive applications. PF analysis is the …

    liege Repository record for GPU-enhanced power flow analysis (opens in a new tab)