gpu-based parallel computing matlab library Search Results


matlab gpu-based cloud  (MathWorks Inc)
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Matlab Gpu Based Cloud, 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-based tigre toolbox  (MathWorks Inc)
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MathWorks Inc matlab-gpu-based tigre toolbox
Matlab Gpu Based Tigre Toolbox, 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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based gpu program  (MathWorks Inc)
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MathWorks Inc based gpu program
Execution time for Jacobian calculation by conventional and Broyden method on C CPU, C <t>GPU,</t> <t>MATLAB</t> CPU, and MATLAB GPU platforms for mesh size (a) 3736, (b) 7465, and (c) 15031.
Based Gpu Program, 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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windowed local phase computation (gpu-based)  (MathWorks Inc)
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MathWorks Inc windowed local phase computation (gpu-based)
Execution time for Jacobian calculation by conventional and Broyden method on C CPU, C <t>GPU,</t> <t>MATLAB</t> CPU, and MATLAB GPU platforms for mesh size (a) 3736, (b) 7465, and (c) 15031.
Windowed Local Phase Computation (Gpu Based), 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-based gpu beamformer  (MathWorks Inc)
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MathWorks Inc matlab-based gpu beamformer
Execution time for Jacobian calculation by conventional and Broyden method on C CPU, C <t>GPU,</t> <t>MATLAB</t> CPU, and MATLAB GPU platforms for mesh size (a) 3736, (b) 7465, and (c) 15031.
Matlab Based Gpu Beamformer, 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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custom gpu-based image reconstruction algorithm  (MathWorks Inc)
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MathWorks Inc custom gpu-based image reconstruction algorithm
Execution time for Jacobian calculation by conventional and Broyden method on C CPU, C <t>GPU,</t> <t>MATLAB</t> CPU, and MATLAB GPU platforms for mesh size (a) 3736, (b) 7465, and (c) 15031.
Custom Gpu Based Image Reconstruction Algorithm, 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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based gpu application  (MathWorks Inc)
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MathWorks Inc based gpu application
Execution time for Jacobian calculation by conventional and Broyden method on C CPU, C <t>GPU,</t> <t>MATLAB</t> CPU, and MATLAB GPU platforms for mesh size (a) 3736, (b) 7465, and (c) 15031.
Based Gpu Application, 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-based gpu library  (MathWorks Inc)
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MathWorks Inc matlab-based gpu library
Execution time for Jacobian calculation by conventional and Broyden method on C CPU, C <t>GPU,</t> <t>MATLAB</t> CPU, and MATLAB GPU platforms for mesh size (a) 3736, (b) 7465, and (c) 15031.
Matlab Based Gpu Library, 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 based parallel implementation  (MathWorks Inc)
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MathWorks Inc gpu based parallel implementation
Execution time for Jacobian calculation by conventional and Broyden method on C CPU, C <t>GPU,</t> <t>MATLAB</t> CPU, and MATLAB GPU platforms for mesh size (a) 3736, (b) 7465, and (c) 15031.
Gpu Based Parallel Implementation, 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-based matlab  (MathWorks Inc)
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MathWorks Inc gpu-based matlab
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)
Gpu Based Matlab, 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/gpu-based matlab/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
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gpu-based matlab routine  (MathWorks Inc)
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MathWorks Inc gpu-based matlab routine
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)
Gpu Based Matlab Routine, 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/gpu-based matlab routine/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
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2019a  (MathWorks Inc)
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MathWorks Inc 2019a
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)
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
https://www.bioz.com/result/2019a/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
2019a - by Bioz Stars, 2026-04
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Image Search Results


Execution time for Jacobian calculation by conventional and Broyden method on C CPU, C GPU, MATLAB CPU, and MATLAB GPU platforms for mesh size (a) 3736, (b) 7465, and (c) 15031.

Journal: International Journal of Biomedical Imaging

Article Title: High-Speed GPU-Based Fully Three-Dimensional Diffuse Optical Tomographic System

doi: 10.1155/2014/376456

Figure Lengend Snippet: Execution time for Jacobian calculation by conventional and Broyden method on C CPU, C GPU, MATLAB CPU, and MATLAB GPU platforms for mesh size (a) 3736, (b) 7465, and (c) 15031.

Article Snippet: The corresponding MATLAB based GPU program took 0.86 seconds.

Techniques:

Breakup of the execution time of various computing blocks of the algorithm on C CPU, C GPU, MATLAB CPU, and MATLAB GPU platforms for mesh size (a) 3736, (b) 7465, and (c) 15031.

Journal: International Journal of Biomedical Imaging

Article Title: High-Speed GPU-Based Fully Three-Dimensional Diffuse Optical Tomographic System

doi: 10.1155/2014/376456

Figure Lengend Snippet: Breakup of the execution time of various computing blocks of the algorithm on C CPU, C GPU, MATLAB CPU, and MATLAB GPU platforms for mesh size (a) 3736, (b) 7465, and (c) 15031.

Article Snippet: The corresponding MATLAB based GPU program took 0.86 seconds.

Techniques:

Execution time for an iteration on C CPU, C GPU, MATLAB CPU, and MATLAB GPU platforms for different mesh sizes.

Journal: International Journal of Biomedical Imaging

Article Title: High-Speed GPU-Based Fully Three-Dimensional Diffuse Optical Tomographic System

doi: 10.1155/2014/376456

Figure Lengend Snippet: Execution time for an iteration on C CPU, C GPU, MATLAB CPU, and MATLAB GPU platforms for different mesh sizes.

Article Snippet: The corresponding MATLAB based GPU program took 0.86 seconds.

Techniques:

Execution time for Jacobian calculation by conventional and Broyden method on C CPU, C GPU, MATLAB CPU, and MATLAB GPU platforms for mesh size (a) 3736, (b) 7465, and (c) 15031.

Journal: International Journal of Biomedical Imaging

Article Title: High-Speed GPU-Based Fully Three-Dimensional Diffuse Optical Tomographic System

doi: 10.1155/2014/376456

Figure Lengend Snippet: Execution time for Jacobian calculation by conventional and Broyden method on C CPU, C GPU, MATLAB CPU, and MATLAB GPU platforms for mesh size (a) 3736, (b) 7465, and (c) 15031.

Article Snippet: The development of MATLAB based GPU application opens up large opportunities.

Techniques:

Breakup of the execution time of various computing blocks of the algorithm on C CPU, C GPU, MATLAB CPU, and MATLAB GPU platforms for mesh size (a) 3736, (b) 7465, and (c) 15031.

Journal: International Journal of Biomedical Imaging

Article Title: High-Speed GPU-Based Fully Three-Dimensional Diffuse Optical Tomographic System

doi: 10.1155/2014/376456

Figure Lengend Snippet: Breakup of the execution time of various computing blocks of the algorithm on C CPU, C GPU, MATLAB CPU, and MATLAB GPU platforms for mesh size (a) 3736, (b) 7465, and (c) 15031.

Article Snippet: The development of MATLAB based GPU application opens up large opportunities.

Techniques:

Execution time for an iteration on C CPU, C GPU, MATLAB CPU, and MATLAB GPU platforms for different mesh sizes.

Journal: International Journal of Biomedical Imaging

Article Title: High-Speed GPU-Based Fully Three-Dimensional Diffuse Optical Tomographic System

doi: 10.1155/2014/376456

Figure Lengend Snippet: Execution time for an iteration on C CPU, C GPU, MATLAB CPU, and MATLAB GPU platforms for different mesh sizes.

Article Snippet: The development of MATLAB based GPU application opens up large opportunities.

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: For example, to reconstruct a 200 × 430 × 200 matrix, it takes half an hour on GPU-based MATLAB on our PC with an NVIDIA Titan X, using the focal-line-based 3D reconstruction algorithm [ ].

Techniques: Blocking Assay