.png){kind=icon}
返回
High-performance hybrid CPU and GPU parallel algorithm for digital volume correlation
.png){kind=icon}
PRE
AI
DOI：10.1177/1094342013518807.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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.
Keyword:
digital volume correlation
X-ray tomography
strain measurement
parallel computing
GPU computing
image registration
期刊
IF:
2.5
论文数:
1.1K
被引数:
1.3K
机构
引用论文
Individual differences in the ability to identify, select and use appropriate frames of reference for perceptuo-motor control.png)
Neuroscience
NeuroscienceIF0
PREAI
分享收藏
查看更多内容