Abstract
In this chapter, we provide a brief overview of the visualization of large vector fields on parallel architectures using integration-based methods. After briefly providing background, we describe the state of the art in corresponding research, focusing on parallel integral curve computation strategies. We analyze the relative benefits of two fundamental schemes and discuss algorithmic improvements presented recently. To conclude, we point out open problems and future research directions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Becker, B. G., Max, N. L., Lane, D. A.: Unsteady flow volumes. In: Proceedings of IEEE Visualization, pp. 329–335 (1995)
Bruckschen, R., Kuester, F., Hamann, B., Joy, K. I.: Real-time out-of-core visualization of particle traces. In: Proceedings of the IEEE Symposium on Parallel and Large-Data Visualization and Graphics (PVG), pp. 45–50, Piscataway, NJ, USA, IEEE Press (2001)
Camp, D., Childs, H., Chourasia, A., Garth, C., Joy, K. I.: Evaluating the benefits of an extended memory hierarchy for parallel streamline algorithms. In: Proceedings of the IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV), IEEE Press (2011)
Camp, D., Garth, C., Childs, H., Pugmire, D., Joy, K.I.: Streamline integration using MPI-Hybrid parallelism on a large multicore architecture. IEEE Trans. Vis. Comput. Graph. 17(11), 1702–1713 (2011)
Chen, L., Fujishiro, I.: Optimizing parallel performance of streamline visualization for large distributed flow datasets. In: Proceedings of IEEE VGTC Pacific Visualization Symposium 2008, 87–94 (2008)
Ellsworth, D., Green, B., Moran, P.: Interactive terascale particle visualization. In: Proceedings of IEEE Visualization, pp. 353–360, IEEE Computer Society, Washington, DC, USA, (2004)
Garth, C., Krishnan, H., Tricoche, X., Bobach, T., Joy, K. I.: Generation of accurate integral surfaces in time-dependent vector fields. IEEE Trans Vis Comput Graph. 14(6), 1404–1411 (2008)
Hairer, E., Nørsett, S. P., Wanner, G.: Solving ordinary differential equations I, second edition. Springer, Berlin (1993) (volume 8 of Springer Series in Computational Mathematics)
Hultquist, J. P. M.: Constructing stream surfaces in steady 3D vector fields. In: A. E. Kaufman and G. M. Nielson. (eds.) Proceedings of IEEE Visualization, pp. 171–178, Boston, MA (1992)
Lane, D. A.: UFAT—A particle tracer for time-dependent flow fields. In: Proceedings of IEEE Visualization ’94, pp. 257–264 (1994)
Mathur, M., Haller, G., Peacock, T., Ruppert-Felsot, J., Swinney, H.: Uncovering the lagrangian skeleton of turbulence. Phys. Rev. Lett., submitted (2006)
McLoughlin, T., Laramee, R.S., Peikert, R., Post, F.H., Chen, M.: Over two decades of integration-based, geometric flow visualization. Comput. Graph. Forum 29(6), 1807–1829 (2010)
Muraki, S., Lum, E., Ma, K.-L., Ogata, M., Liu, X.: A PC cluster system for simultaneous interactive volumetric modeling and visualization. In: Proceedings of the IEEE Symposium on Parallel and Large-Data Visualization and Graphics (PVG), p. 13, IEEE Computer Society Washington, DC, USA (2003)
Nouanesengsy, B., Lee, T.Y., Shen, H.W.: Load-balanced parallel streamline generation on large scale vector fields. IEEE Trans. Vis. Comput. Graph. 17(12), 1785–1794 (2011)
Peterka, T., Ross, R., Nouanesengsey, B., Lee, T. Y., Shen, H. W., Kendall, W., Huang, J.: A study of parallel particle tracing for steady-state and time-varying flow fields. In: Proceedings of 25th IEEE International Parallel & Distributed Processing Symposium, Anchorage, AK (2011)
Pugmire, D., Childs, H., Garth, C., Ahern, S., Weber, G.: Scalable computation of streamlines on very large datasets. In: Proceedings of Supercomputing (2009)
Sanderson, A.R., Chen, G., Tricoche, X., Pugmire, D., Kruger, S., Breslau, J.: Analysis of recurrent patterns in toroidal magnetic fields. IEEE Trans. Vis. Comput. Graph. 16(6), 1431–1440 (2010)
Shadden, S., Dabiri, J., Marsden, J.: Lagrangian analysis of fluid transport in empirical vortex ring flows. Phys. Fluids 18, 047105 (2006)
Sujudi, D., Haimes, R.: Integration of particles and streamlines in a spatially-decomposed computation, IEEE Computer Society Press. In: Proceedings of Parallel Computational Fluid Dynamics, Los Alamitos, CA (1996)
Ueng, S.K., Sikorski, C., Ma, K.-L.: Out-of-core streamline visualization on large unstructured meshes. IEEE Trans. Vis. Comput. Graph. 3(4), 370–380 (1997)
Wolter, M., Gerndt, A., Kuhlen, T., Bischof, C.: Markov prefetching for multi-block particle tracing on parallel post-processors. In: J. Kown, A. Ecer, J. Periaux, N. Satofuka, and P. Fox, (eds.) Parallel Computational Fluid Dynamics: Parallel Computings and its Applications, Proceedings of the Parallel CFD Conference, pp. 27–34. Elsevier, London (2007)
Xue, D., Zhang, C., Crawfis, R.: Rendering implicit flow volumes. In: Proceedings of the IEEE Visualization ’04 Conference, pp. 99–106 (2004)
Yu, H., Wang, C., Ma, K.-L.: Parallel hierarchical visualization of large time-varying 3D vector fields. In: Proceedings of Supercomputing (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag London
About this chapter
Cite this chapter
Garth, C., Gaither, K. (2014). Large-Scale Integration-Based Vector Field Visualization. In: Hansen, C., Chen, M., Johnson, C., Kaufman, A., Hagen, H. (eds) Scientific Visualization. Mathematics and Visualization. Springer, London. https://doi.org/10.1007/978-1-4471-6497-5_26
Download citation
DOI: https://doi.org/10.1007/978-1-4471-6497-5_26
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-4471-6496-8
Online ISBN: 978-1-4471-6497-5
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)