RT Journal Article
T1 DPIVSoft-OpenCL: a multicore CPU-GPU accelerated open source code for 2D Particle Image Velocimetry
A1 Aguilar-Cabello, Jorge
A1 Parras-Anguita, Luis
A1 Del-Pino-Peñas, Carlos Manuel
K1 Lenguajes de programación
K1 Soporte lógico libre
K1 Microprocesadores -- Programación
AB 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.
PB Elsevier
YR 2022
FD 2022-11-21
LK https://hdl.handle.net/10630/26334
UL https://hdl.handle.net/10630/26334
LA eng
NO 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.
NO This research has been supported by one grant from the Ministerio de Economía y Competitividad of Spain (Grant No. DPI2016-76151-C2-1-R) and partially by the project B4-2019-11, 0837002010 from the Universidad de Málaga and the project PID2021-124692OA-I00 from the Ministerio de Ciencia e Innovación  // Partial funding for open access charge: Universidad de Málaga / CBUA
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 22 ene 2026