matlab gpu coder Search Results


matlab/cuda-without-c++ code (mcc)  (MathWorks Inc)
90
MathWorks Inc matlab/cuda-without-c++ code (mcc)
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 <t>GPU</t> is responsible for computing the radius matrix in parallel from required inputs (parallel computation block)
Matlab/Cuda Without C++ Code (Mcc), 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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matlab gpu coder  (MathWorks Inc)
90
MathWorks Inc matlab gpu 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 <t>GPU</t> is responsible for computing the radius matrix in parallel from required inputs (parallel computation block)
Matlab Gpu 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
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Average 90 stars, based on 1 article reviews
matlab gpu coder - by Bioz Stars, 2026-03
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wavelet à trous filter  (MathWorks Inc)
90
MathWorks Inc wavelet à trous filter
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 <t>GPU</t> is responsible for computing the radius matrix in parallel from required inputs (parallel computation block)
Wavelet à Trous Filter, 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/wavelet à trous filter/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
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matlab 2018a  (MathWorks Inc)
90
MathWorks Inc matlab 2018a
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 <t>GPU</t> is responsible for computing the radius matrix in parallel from required inputs (parallel computation block)
Matlab 2018a, 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 2018a/product/MathWorks Inc
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gpu code execution  (MathWorks Inc)
90
MathWorks Inc gpu code execution
Overview of the <t> GPU </t> application case studies.
Gpu Code Execution, 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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serial0 matlab program m postprocessing  (MathWorks Inc)
93
MathWorks Inc serial0 matlab program m postprocessing
Overview of the <t> GPU </t> application case studies.
Serial0 Matlab Program M Postprocessing, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab/gpu code  (MathWorks Inc)
90
MathWorks Inc matlab/gpu code
Overview of the <t> GPU </t> application case studies.
Matlab/Gpu 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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stand alone code generation tool  (MathWorks Inc)
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MathWorks Inc stand alone code generation tool
Overview of the <t> GPU </t> application case studies.
Stand Alone Code Generation Tool, 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
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2018b x 64-bit  (MathWorks Inc)
90
MathWorks Inc 2018b x 64-bit
Overview of the <t> GPU </t> application case studies.
2018b X 64 Bit, 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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2019a  (MathWorks Inc)
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MathWorks Inc 2019a
Overview of the <t> GPU </t> application case studies.
2019a, 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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gpu coder  (MathWorks Inc)
90
MathWorks Inc gpu coder
Overview of the <t> GPU </t> application case studies.
Gpu 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
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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: 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

Overview of the GPU application case studies.

Journal: Computational Science – ICCS 2020

Article Title: Lessons Learned in a Decade of Research Software Engineering GPU Applications

doi: 10.1007/978-3-030-50436-6_29

Figure Lengend Snippet: Overview of the GPU application case studies.

Article Snippet: MATLAB offers three different ways to execute GPU code into applications.

Techniques: Microscopy, Tomography