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| 1 | Heterogeneous parallel computing accelerated iterative subpixel digital image correlation显示文摘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. | HUANG JianWen ZHANG LingQi JIANG ZhenYu DONG ShouBin CHEN Wei LIU YiPing LIU ZeJia ZHOU LiCheng TANG LiQun | 2018 | Science China(Technological Sciences)2018，61，1： | 9 |
| 2 | Algorithm of Parallelized Elimination of Duplicated Web Pages Based on Map/Reduce显示文摘 | Zhang Yuanfeng Dong Shoubin Zhang Ling | 2007 | Journal of Guangxi Normal University2007，02，： | 1 |
| 3 | A Hybrid Mathematical Model of Tumor-Induced Angiogenesis with Blood Perfusion显示文摘Angiogenesis, the growth of new blood vessel from existing ones, is a pivotal stage in cancer development,and is an important target for cancer therapy. We develop a hybrid mathematical model to understand the mechanisms behind tumor-induced angiogenesis. This model describes uptake of Tumor Angiogenic Factor(TAF)at extracellular level, uses partial differential equation to describe the evolution of endothelial cell density including TAF induced proliferation, chemotaxis to TAF, and haptotaxis to extracellular matrix. In addition we also consider the phenomenon of blood perfusion in the micro-vessels. The model produces sprout formation with realistic morphological and dynamical features, including the so-called brush border effect, the dendritic branching and fusing of the capillary sprouts forming a vessel network. The model also demonstrates the effects of individual mechanisms in tumor angiogenesis: Chemotaxis to TAF is the key driving mechanisms for the extension of sprout cell; endothelial proliferation is not absolutely necessary for sprout extension; haptotaxis to Extra Cellular Matrix(ECM) gradient provides additional guidance to sprout extension, suggesting potential targets for anti-angiogenic therapies. | Junping Meng Shoubin Dong Liqun Tang Yi Jiang | 2014 | Tsinghua Science and Technology2014，19，6： | 1 |
| 4 | Email header feature study for improving Bayesian anti-spam filter显示文摘 | CHEN Bin DONG Shoubin FANG Weidong | 2008 | Journal of Computational Information Systems2008，4，3： | 1 |
| 5 | Information retrieval:a view from the Chinese IR community显示文摘During a two day strategic workshop in February 2018,22 information retrieval researchers met to discuss the future challenges and opportunities within the field.The outcome is a list of potential research directions,project ideas,and challenges.This report describes the major conclusions we have obtained during the workshop.A key result is that we need to open our mind to embrace a broader IR field by rethink the definition of information,retrieval,user,system,and evaluation of IR.By providing detailed discussions on these topics,this report is expected to inspire our IR researchers in both academia and industry,and help the future growth of the IR research community. | Zhumin CHEN Xueqi CHENG Shoubin DONG Zhicheng DOU Jiafeng GUO Xuanjing HUANG Yanyan LAN Chenliang LI Ru LI Tie-Yan LIU Yiqun LIU Jun MA Bing QIN Mingwen WANG Jirong WEN Jun XU Min ZHANG Peng ZHANG Qi ZHANG | 2021 | Frontiers of Computer Science2021，15，1： | 0 |
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