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Compared to the CPU-bound functions, the GPU-accelerated modules perform much faster, making them suitable for large datasets. The GPU-acceleration is done ...
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This paper demonstrates the possibilities of using high-level libraries for GPU-accelerated PIV data analysis in Python.
Digital Particle Image Velocimetry (PIV) is an op- tical technique used to measure the velocity of seeded particles in real flow. A CCD camera.
Abstract (summary): A GPU-accelerated PIV data analysis algorithm was developed. The algorithm was vigorously validated using both synthetic images and ...
PIV algorithm is completely vectorized, what results in a very high performance using the GPU, but still has a room for improvement. Parameters of the program:.
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In this paper, we present a PIV-system that implements vector field reconstruction and visualization on programmable graphics processing units (GPUs)
Digital Particle Image Velocimetry (PIV) is an op- tical technique used to measure the velocity of seeded particles in real flow. A CCD camera captures the ...
A GPU-accelerated PIV data analysis algorithm was developed. The algorithm was vigor- ously validated using both synthetic images and experimental data.
OpenPIV is the community driven initiative to develop free and open-source software for Particle Image Velocimetry (PIV) image analysis and post-processing.