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+ gpu implementation of the code  (MathWorks Inc)


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    MathWorks Inc + gpu implementation of the code
    + Gpu Implementation Of The Code, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/++gpu+implementation+of+the+code/pm32413680-85-15-15
    Average 90 stars, based on 1 article reviews
    + gpu implementation of the code - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Leave-One-Out Kernel Optimization for Shadow Detection and Removal
    Article Snippet: For each iteration, our Matlab GPU implementation takes 1.25 s to load the distance matrices to the GPU, a GTX 980.

    Article Title: System, method and computer-accessible medium for restoring an image taken through a window
    Article Snippet: The exemplary Matlab GPU implementation can restore a 3888×2592 color image in approximately 60 s using a nVidia GTX 580, and a 1280×720 color image in approximately 7 s. Exemplary Training Data Collection The exemplary network can have about 753,664 weights and about 1,216 biases which can be set during training.

    Article Title: High-quality reconstruction of coherent modulation imaging using weak cascade modulators.
    Article Snippet: Coherent modulation imaging (CMI) has been shown to be an effective lensless diffraction approach to imaging general extended samples with fast algorithmic convergence and high robustness to data imperfection.. Being a single-shot technique, CMI holds a high potential for imaging dynamics with ultrafast pulses like the ones from freeelectron lasers.. In the reported work, strong modulators have been suggested for CMI to have the optimal performance, which may be an obstacle for the wide adoption of the method.

    Transferring:

    Article Title: Real-world comparison of CPU and GPU implementations of SNPrank: a network analysis tool for GWAS
    Article Snippet: .. The Matlab GPU implementation proved slightly slower, largely due to the overhead involved in transferring data to and from the GPU. ..



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