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cuda c kernels  (MathWorks Inc)


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    MathWorks Inc cuda c kernels
    Cuda C Kernels, 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/result/cuda c kernels/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    cuda c kernels - by Bioz Stars, 2026-04
    90/100 stars

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    Example process flow of the heterogeneous computing. In this figure, we create a sample MEXCUDA function for calculating the radius matrix of a scanned region to each transducer elements. The host code (CPU) is in charge of initialization and finalization blocks such as reading the input from MATLAB, performing condition checks, and allocating memory for input and output data. Device code in GPU is responsible for computing the radius matrix in parallel from required inputs (parallel computation block)

    Journal: Visual Computing for Industry, Biomedicine and Art

    Article Title: Optimizing photoacoustic image reconstruction using cross-platform parallel computation

    doi: 10.1186/s42492-018-0002-5

    Figure Lengend Snippet: Example process flow of the heterogeneous computing. In this figure, we create a sample MEXCUDA function for calculating the radius matrix of a scanned region to each transducer elements. The host code (CPU) is in charge of initialization and finalization blocks such as reading the input from MATLAB, performing condition checks, and allocating memory for input and output data. Device code in GPU is responsible for computing the radius matrix in parallel from required inputs (parallel computation block)

    Article Snippet: Validating images are then reconstructed using the MATLAB/CUDA-without-C++ code (MCC), MATLAB-without-GPU code (MWGC), and our MCCC in this study.

    Techniques: Blocking Assay

    a Comparison of reconstruction time between MCC, MCCC and MWGC and b a close look into reconstruction time difference between MCC and MCCC codes with different RF

    Journal: Visual Computing for Industry, Biomedicine and Art

    Article Title: Optimizing photoacoustic image reconstruction using cross-platform parallel computation

    doi: 10.1186/s42492-018-0002-5

    Figure Lengend Snippet: a Comparison of reconstruction time between MCC, MCCC and MWGC and b a close look into reconstruction time difference between MCC and MCCC codes with different RF

    Article Snippet: Validating images are then reconstructed using the MATLAB/CUDA-without-C++ code (MCC), MATLAB-without-GPU code (MWGC), and our MCCC in this study.

    Techniques: Comparison