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matlab front-end  (MathWorks Inc)


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    MathWorks Inc matlab front-end
    Matlab Front End, 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/matlab+front+end/pm36827799-236-4-4
    Average 90 stars, based on 1 article reviews
    matlab front-end - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Generated:

    Article Title: A portable MATLAB front-end for tiled microprocessors
    Article Snippet: Figure 1.3 captures the role of a MATLAB front-end in the portable compiler in- frastructure for tiled architectures.

    Article Title: A portable MATLAB front-end for tiled microprocessors
    Article Snippet: The thesis presents a MATLAB front-end as the first implementation of a new compiler infrastructure for the class of tiled architectures.



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    front-end matlab code  (MathWorks Inc)
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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 <t>MATLAB,</t> 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)
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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 <t>MATLAB,</t> 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)
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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: With this fact, the simplicity nature of the front-end MATLAB code is maintained.

    Techniques: Blocking Assay