| Heterogeneous parallel computing accelerated iterative subpixel digital image correlation | |
| Huang JW; Zhang LQ; Jiang ZY; Dong SB; Chen W; Liu YP; Liu ZJ; Zhou LC; Tang LQ | |
| 发表期刊 | SCIENCE CHINA-TECHNOLOGICAL SCIENCES
 |
| 2018 | |
| 卷号 | 61期号:1页码:74-85 |
| ISSN | 1674-7321 |
| 摘要 | Parallel computing techniques have been introduced into digital image correlation (DIC) in recent years and leads to a surge in computation speed. The graphics processing unit (GPU)-based parallel computing demonstrated a surprising effect on accelerating the iterative subpixel DIC, compared with CPU-based parallel computing. In this paper, the performances of the two kinds of parallel computing techniques are compared for the previously proposed path-independent DIC method, in which the initial guess for the inverse compositional Gauss-Newton (IC-GN) algorithm at each point of interest (POI) is estimated through the fast Fourier transform-based cross-correlation (FFT-CC) algorithm. Based on the performance evaluation, a heterogeneous parallel computing (HPC) model is proposed with hybrid mode of parallelisms in order to combine the computing power of GPU and multicore CPU. A scheme of trial computation test is developed to optimize the configuration of the HPC model on a specific computer. The proposed HPC model shows excellent performance on a middle-end desktop computer for real-time subpixel DIC with high resolution of more than 10000 POIs per frame. |
| 关键词 | digital image correlation (DIC) inverse compositional Gauss-Newton (IC-GN) algorithm heterogeneous parallel computing graphics processing unit (GPU) multicore CPU real-time DIC |
| DOI | 10.1007/s11431-017-9168-0 |
| URL | 查看原文 |
| 收录类别 | SCI ; EI ; CSCD |
| 语种 | 英语 |
| WOS记录号 | WOS:000422911200008 |
| 关键词[WOS] | PIXEL REGISTRATION ALGORITHMS ; GAUSS-NEWTON ALGORITHM ; VOLUME CORRELATION ; HIGH-ACCURACY ; ROBUSTNESS |
| WOS研究方向 | Engineering, Multidisciplinary ; Materials Science, Multidisciplinary |
| WOS类目 | Engineering ; Materials Science |
| 项目资助者 | National Natural Science Foundation of China [11772131, 11772132, 11772134, 11472109] ; Natural Science Foundation of Guangdong Province, China [2015A030308017, 2015A030311046, 2015B010131009] ; Opening fund of State Key Laboratory of Nonlinear Mechanics (LNM), CAS ; State Key Lab of Subtropical Building Science, South China University of Technology [2014ZC17, 2017ZD096] |
| 论文分区 | 二类 |
| 力学所作者排名 | 3 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://dspace.imech.ac.cn/handle/311007/77893 |
| 专题 | 非线性力学国家重点实验室 |
| 作者单位 | 1.South China Univ Technol, Sch Civil Engn & Transportat, State Key Lab Subtrop Bldg Sci, Guangzhou 510640, Guangdong, Peoples R China 2.South China Univ Technol, Sch Comp Sci, Guangzhou 510640, Guangdong, Peoples R China 3.Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang JW,Zhang LQ,Jiang ZY,et al. Heterogeneous parallel computing accelerated iterative subpixel digital image correlation[J]. SCIENCE CHINA-TECHNOLOGICAL SCIENCES,2018,61,1,:74-85. |
| APA | Huang JW.,Zhang LQ.,Jiang ZY.,Dong SB.,Chen W.,...&Tang LQ.(2018).Heterogeneous parallel computing accelerated iterative subpixel digital image correlation.SCIENCE CHINA-TECHNOLOGICAL SCIENCES,61(1),74-85. |
| MLA | Huang JW,et al."Heterogeneous parallel computing accelerated iterative subpixel digital image correlation".SCIENCE CHINA-TECHNOLOGICAL SCIENCES 61.1(2018):74-85. |
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| IrJ2018281.pdf（1917KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
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