front-end matlab code Search Results


front-end matlab code  (MathWorks Inc)
90
MathWorks Inc front-end matlab code
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)
Front End Matlab 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
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Average 90 stars, based on 1 article reviews
front-end matlab code - by Bioz Stars, 2026-04
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matlab front-end  (MathWorks Inc)
90
MathWorks Inc matlab front-end
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)
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/result/matlab front-end/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab front-end - by Bioz Stars, 2026-04
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appdesigner platform matlab r2020b  (MathWorks Inc)
90
MathWorks Inc appdesigner platform matlab r2020b
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)
Appdesigner Platform Matlab R2020b, 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/appdesigner platform matlab r2020b/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
appdesigner platform matlab r2020b - by Bioz Stars, 2026-04
90/100 stars
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matlab embedded coder  (MathWorks Inc)
90
MathWorks Inc matlab embedded coder
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)
Matlab Embedded Coder, 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/matlab embedded coder/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab embedded coder - by Bioz Stars, 2026-04
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compiler 111  (MathWorks Inc)
96
MathWorks Inc compiler 111
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)
Compiler 111, 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/compiler 111/product/MathWorks Inc
Average 96 stars, based on 1 article reviews
compiler 111 - by Bioz Stars, 2026-04
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mexcuda  (MathWorks Inc)
90
MathWorks Inc mexcuda
Overall flowchart of a <t>MEXCUDA</t> function
Mexcuda, 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/mexcuda/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
mexcuda - by Bioz Stars, 2026-04
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power flow algorithm code  (MathWorks Inc)
90
MathWorks Inc power flow algorithm code
Overall flowchart of a <t>MEXCUDA</t> function
Power Flow Algorithm 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/result/power flow algorithm code/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
power flow algorithm code - by Bioz Stars, 2026-04
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texas instruments tms320f2812 digital single processor  (Texas Instruments)
90
Texas Instruments texas instruments tms320f2812 digital single processor
Overall flowchart of a <t>MEXCUDA</t> function
Texas Instruments Tms320f2812 Digital Single Processor, supplied by Texas Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab-style source code  (MathWorks Inc)
90
MathWorks Inc matlab-style source code
Overall flowchart of a <t>MEXCUDA</t> function
Matlab Style Source 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/result/matlab-style source code/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab-style source code - by Bioz Stars, 2026-04
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Image Search Results


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

Overall flowchart of a MEXCUDA function

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: Overall flowchart of a MEXCUDA function

Article Snippet: The workflow of a function execution by MEXCUDA is demonstrated in Fig. . First, in the MATLAB front-end code, users load raw data, convert CPU-based matrices into GPU matrices, and set reconstruction parameters.

Techniques:

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: The workflow of a function execution by MEXCUDA is demonstrated in Fig. . First, in the MATLAB front-end code, users load raw data, convert CPU-based matrices into GPU matrices, and set reconstruction parameters.

Techniques: Blocking Assay