期刊
INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS
卷 29, 期 1, 页码 92-106出版社
SAGE PUBLICATIONS LTD
DOI: 10.1177/1094342013518807
关键词
digital volume correlation; X-ray tomography; strain measurement; parallel computing; GPU computing; image registration
类别
资金
- Center for Simulation of Advanced Rockets under the U.S. Department of Energy [B523819]
- Institute for Advanced Computing Applications and Technologies
- University of Illinois Campus Research Board [09084]
We present a hybrid Message Passing Interface (MPI) and graphics processing unit (GPU)-based parallel digital volume correlation (DVC) algorithm for measuring three-dimensional (3D) displacement and strain fields inside a material undergoing motion or deformation. Our algorithm achieves resolution comparable to that achieved in two-dimensional (2D) digital image correlation (DIC), in time that is commensurate with the image acquisition time, in this case, using microcomputed tomography (mu CT) for scanning images. For DVC, the volume of data and number of correlation points both grow cubically with the linear dimensions of the image. We turn to parallel computing to gain sufficient processing power to scale to high resolution, and are able to achieve more than an order-of-magnitude increase in resolution compared with previous efforts that are not based on a parallel framework.
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