2026-06-05T16:49:38Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/263342026-02-03T11:36:06Zcom_10630_2254col_10630_37953
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Aguilar-Cabello, Jorge
author
Parras-Anguita, Luis
author
Del-Pino-Peñas, Carlos Manuel
2023-04-21T06:48:59Z
2023-04-21T06:48:59Z
2022-11-21
Aguilar-Cabello, J., Parras, L., & del Pino, C. (2022). DPIVSoft-OpenCL: A multicore CPU–GPU accelerated open-source code for 2D Particle Image Velocimetry. SoftwareX, 20, 101256.
https://hdl.handle.net/10630/26334
https://doi.org/10.1016/j.softx.2022.101256
We present a translation of the original Matlab DPIVSoft code to a complete open source code implemented in Python, to perform Particle Image Velocimetry (PIV) in two-dimensions, in parallel, and with interrogation window shifting along with the double-pass window deformation approach using multiple iterations for each pass. The added value of the code is the use of the Open Computing Language (OpenCL) library to parallelize the original code on multiple Intel Central Processing Units (CPUs) and/or Graphics Processing Units (GPUs), so it can be run on all commercially available GPUs. Examples of flow application are included in the text using synthetic images generated from DNS data from John Hopkins Turbulence Database (JHTD) (Perlman, 2007), showing about 90x speedup over the previous Matlab implementation for a given test case.
eng
Atribución 4.0 Internacional
Lenguajes de programación
Soporte lógico libre
Microprocesadores -- Programación
DPIVSoft-OpenCL: a multicore CPU-GPU accelerated open source code for 2D Particle Image Velocimetry
journal article
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