Paper Info
Title
High-performance hybrid CPU and GPU parallel algorithm for digital volume correlation.
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.
Year
DOI
Venue
2015
10.1177/1094342013518807
IJHPCA
Keywords
Field
DocType
parallel computing,gpu computing,image registration
Parallel algorithm,Computer science,Parallel computing,Tomography,Theoretical computer science,Message Passing Interface,Digital image correlation,Correlation,General-purpose computing on graphics processing units,Graphics processing unit,Image registration
Journal
Volume
Issue
ISSN
29
1
1094-3420
Citations 
PageRank 
References 
4
0.46
15
Authors
4
Name
Order
Citations
PageRank
Mark Gates140.46
Michael T. Heath236673.58
Michael T. Heath336673.58
John Lambros440.46