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Showing 1 to 7 of 7 for “"Graphic Processing Units (GPUs)"”.

  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. 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)

  3. 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)

  4. 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)

  5. 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)

  6. 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)

  7. 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)