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the compiled mexcuda function  (MathWorks Inc)
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MathWorks Inc the compiled mexcuda function
Overall flowchart of a <t>MEXCUDA</t> function
The Compiled Mexcuda Function, 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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mexcuda command  (MathWorks Inc)
95
MathWorks Inc mexcuda command
Overall flowchart of a <t>MEXCUDA</t> function
Mexcuda Command, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/mexcuda command/product/MathWorks Inc
Average 95 stars, based on 1 article reviews
mexcuda command - by Bioz Stars, 2026-04
95/100 stars
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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: From this source code, we create the compiled MEXCUDA function by using the mexcuda command in MATLAB.

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: From this source code, we create the compiled MEXCUDA function by using the mexcuda command in MATLAB.

Techniques: Blocking Assay