Username   Password       Forgot your password?  Forgot your username? 


Parallel Visualization of Flow Field based on Streamline Similarity

Volume 14, Number 4, April 2018, pp. 717-728
DOI: 10.23940/ijpe.18.04.p15.717728

Bin Tanga, Sipeng Sunb, Rui Denga, and Yi Lib

aCollege of Shipbuilding Engineering, Harbin Engineering University, Harbin, 150001, China
bCollege of Computer Science & Technology, Harbin Engineering University, Harbin, 150001, China

(Submitted on December 25, 2017; Revised on February 2, 2018; Accepted on March 10, 2018)


The streamline visualization method can intuitively reveal the nature and change law of flow field. However, the streamline visualization method easily causes the disorder of visualization effect, which is especially serious in the 3D flow field. With the improvement of calculation accuracy, the time consumed by calculation in the streamline generation process also increases accordingly, which impacts the visualization efficiency. In view of the above problems existing in the streamline visualization method, this paper researches the parallel visualization method of flow field based on streamline similarity. First, this paper judges the streamline shape similarity through the feature points and designs the method for judging 3D streamline similarity by combing the methods for judging the distanced-based similarity between streamlines. This reduces the streamline disorder phenomena in visualization results. Second, this paper utilizes the parallel computing technology to improve the computational efficiency. On the basis of seed point parallel strategy, this paper proposes the parallel task partition method that combines the equal partition of tasks with repartition of redundant tasks. In view of the blocking wait that exists in parallel judgment of similarity, this paper proposes the cyclic check method based on a double-caching line to avoid the blocking wait problem, obviously reducing the flow field visualization time and effectively improving the flow field visualization efficiency.


References: 14

    1. D. Camp, C. Garth, H. Childs, et al. “Streamline integration using MPI-hybrid parallelism on a large multicore architecture[J] ”, IEEE Transactions on Visualization & Computer Graphics, vol.17, no 11, pp. 02-13, 2011
    2. G. L. Chen. Parallel Computing [M]. China Higher Education Press, pp.163-164, 2011
    3. G. L. Chen. Parallel Computing Practice [M]. China Higher Education Press, pp.66-68, 2004
    4. Y. Chen, J. Cohen, J. Krolik. “Similarity-Guided Streamline Placement with Error Evaluation”, IEEE Transactions on Visualization & Computer Graphics. vol. 13, no 6, pp.1448-1455, 2007
    5. Z. Guo. “Conclusions on the Vertical Curvature and Torsion of the Corresponding Tangent of Two Curves”, Journal of Hetao College. pp.85-88, 2017
    6. C. Li, L. D. “WU, B. Zhao. Visualization of 2D Dynamic Vector Field Based on Topology Analysis”, Journal of System Simulation. vol.28, no.10, pp.2385-2393. October 2016
    7. S. Lu, Y. J. Lei, W. W. Kong, Y. Lei. “Image registration method based on key point feature and improved Hausdorff distance”, Systems Engineering and Electronics. vol.33, no.7, 1663-1667,July 2011
    8. D. Y. Lu, D. M. Zhu, Z. Q. Wang. “Streamline Selection Algorithm for Three-Dimensional Flow Fields”, Journal of Computer-Aided Design & Computer Graphics. vol.25, no.5, pp.666-673 ,May 2013
    9. Z. Y. Ma, S. j. Jia, Y. X. Zhang, “Chi-square Distribution Based Similarity Join Query Algorithm on High-dimensional data”, Journal of Computer Application.vol.36, no 7, pp.1993-1997, July 2016
    10. T. Mcloughlin, M. W. Jones, R. S. Laramee, et al. “Similarity Measures for Enhancing Interactive Streamline Seeding”, IEEE Transactions on Visualization & Computer Graphics. vol.19, no 8, pp.1342-1353, 2013
    11. G. Turk, D. Banks. “Image-guided streamline placement. Conference on Computer Graphics and Interactive Techniques”, ACM, pp.453-460, 1996
    12. H. H. Wang. “Research on Key Techniques of Feature-Based Texture Visualization for Complex Flow Field”, Doctoral dissertation of China national defense science and technology university. pp.1-3, January 2015
    13. H. Yu, C. Wang, C. K. Shene, et al. “Hierarchical Streamline Bundles”, IEEE Transactions on Visualization & Computer Graphics. vol. 18, no 8, pp.1353-67, 2012
    14. Y. J. Zhu, L. S. Zhou, J. Wang. “Contour Extraction and Feature Point Detection for 3-D Fragment Reassembly”, Transactions of Nanjing University of Aeronautics and Astronautics. vol. 22 , no 1, pp.23-29, Mar 2005


      Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

      Download this file (IJPE-2018-04-15.pdf)IJPE-2018-04-15.pdf[Parallel Visualization of Flow Field based on Streamline Similarity]840 Kb
      This site uses encryption for transmitting your passwords.