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Image Search Results
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: In details,
Techniques:
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: In details,
Techniques: Blocking Assay