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source level matlab compiler  (MathWorks Inc)


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    MathWorks Inc source level matlab compiler
    Fig. 4. Comparison of the NLODT-P runtime for <t>MATLAB</t> + GPU (GPU computing and CRF format) and the approach only with MATLAB.
    Source Level Matlab Compiler, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 310 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/source level matlab compiler/product/MathWorks Inc
    Average 96 stars, based on 310 article reviews
    source level matlab compiler - by Bioz Stars, 2026-05
    96/100 stars

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    1) Product Images from "High performance computing for a 3-D optical diffraction tomographic application in fluid velocimetry"

    Article Title: High performance computing for a 3-D optical diffraction tomographic application in fluid velocimetry

    Journal: Optics Express

    doi: 10.1364/oe.23.004021

    Fig. 4. Comparison of the NLODT-P runtime for MATLAB + GPU (GPU computing and CRF format) and the approach only with MATLAB.
    Figure Legend Snippet: Fig. 4. Comparison of the NLODT-P runtime for MATLAB + GPU (GPU computing and CRF format) and the approach only with MATLAB.

    Techniques Used: Comparison



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    source level matlab compiler  (MathWorks Inc)
    96
    MathWorks Inc source level matlab compiler
    Fig. 4. Comparison of the NLODT-P runtime for <t>MATLAB</t> + GPU (GPU computing and CRF format) and the approach only with MATLAB.
    Source Level Matlab Compiler, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/source level matlab compiler/product/MathWorks Inc
    Average 96 stars, based on 1 article reviews
    source level matlab compiler - by Bioz Stars, 2026-05
    96/100 stars
    		  Buy from Supplier

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    Fig. 4. Comparison of the NLODT-P runtime for MATLAB + GPU (GPU computing and CRF format) and the approach only with MATLAB.

    Journal: Optics Express

    Article Title: High performance computing for a 3-D optical diffraction tomographic application in fluid velocimetry

    doi: 10.1364/oe.23.004021

    Figure Lengend Snippet: Fig. 4. Comparison of the NLODT-P runtime for MATLAB + GPU (GPU computing and CRF format) and the approach only with MATLAB.

    Article Snippet: 23, No. 4 | DOI:10.1364/OE.23.004021 | OPTICS EXPRESS 4022 implementation of our NLODT model at a source-level MATLAB compiler calling MEXfiles for using GPU routines [15], which is also experimentally evaluated.

    Techniques: Comparison