2014
DOI: 10.1016/j.cpc.2014.05.016
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Optimized OpenCL implementation of the Elastodynamic Finite Integration Technique for viscoelastic media

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Cited by 28 publications
(12 citation statements)
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“…The two most commonly used platforms are OpenCL and CUDA. Scholars from different disciplines reported successful applications of the two, like [1,2] in mathematics, [3] in physics, [4][5][6][7] in computer science, [8][9][10][11] in seismic engineering, [12,13] in bioinformatics, [14] in communication, [15][16][17][18] in image processing, and so on.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The two most commonly used platforms are OpenCL and CUDA. Scholars from different disciplines reported successful applications of the two, like [1,2] in mathematics, [3] in physics, [4][5][6][7] in computer science, [8][9][10][11] in seismic engineering, [12,13] in bioinformatics, [14] in communication, [15][16][17][18] in image processing, and so on.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Ultrasonic tomography inspection in highly heterogeneous materials such as concrete requires studying a complex wave propagation consisting of reflection, dispersion, scattering, and mode conversion, which can mask relevant information regarding the material structural properties. For this purpose, the simulation software SimNDT, developed by the authors [18,19], was used to generate two-dimensional (2D) numerical simulations.…”
Section: Numerical Simulationsmentioning
confidence: 99%
“…Several concrete specimens with embedded bars or tubes of different sizes and materials are inspected. To optimize the emitter-receiver configuration and select the optimal parameters for the inspection, several simulations are carried out with the software SimNDT [18,19]. …”
Section: Introductionmentioning
confidence: 99%
“…The GPU itself is a many‐core processor where dozens of streaming processors with hundreds of cores support thousands of threads running concurrently on single chip as depicted in Figure . Because the GPU hardware can be classified as single‐instruction, multiple threads, therefore general purpose CPU–based applications with significant data in‐dependency are well suited for such devices.…”
Section: Introductionmentioning
confidence: 99%