Abstract
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 (μ 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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 92-106 |
| Number of pages | 15 |
| Journal | International Journal of High Performance Computing Applications |
| Volume | 29 |
| Issue number | 1 |
| DOIs | |
| State | Published - Feb 13 2015 |
Keywords
- GPU computing
- X-ray tomography
- digital volume correlation
- image registration
- parallel computing
- strain measurement
ASJC Scopus subject areas
- Theoretical Computer Science
- Software
- Hardware and Architecture