Abstract
The volume of data produced by numerical simulations performed on high performance computers is becoming increasingly large. The visualization of these large post-generated volumes of data is currently a bottleneck for the realization of engineering and physics studies in industrial environments. In this context, Catalyst is a prototype in-situ visualization library developed by Kitware to help reduce the data post-treatment overhead. Additionally, Code_Saturne is a Computational Fluid Dynamics code developed by EDF, one of the largest electricity producers in Europe, for its large scale simulations. Both Catalyst and Code_Saturne are open-source software. In this chapter we present a case study where Catalyst is coupled with Code_Saturne. We evaluate the feasibility and performance of this integration by running several use cases in one of our corporate supercomputers.
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
Archambeau, F., Mechitoua, N., Sakiz, M.: Code saturne: a finite volume code for the computation of turbulent incompressible flows. Industrial applications. Int. J. Finite Volumes 1, 1–62 (2004)
Archambeau, F., Mechitoua, N., Sakiz, M.: Edf, code_saturne Version 3.0 Practical User’s Guide (2013)
Biddiscombe, J., Soumagne, J., Oger, G., Guibert, D., Piccinali, J.-G.: Parallel computational steering for hpc applications using hdf5 files in distributed shared memory. IEEE Trans. Vis. Comput. Graph. 18(6), 852–864 (2012)
Brooke, J.M., Coveney, P.V., Harting, J., Pickles, S.M., Pinning, A.R., Porter, R.L.: Computational steering in realitygrid. In: Proceedings of the UK E-Science All Hands Meeting, pp. 885–888 (2003)
Childs, H., Brugger, E., Bonnell, K., Meredith, J., Miller, M., Whitlock, B., Max, N.: A contract based system for large data visualization. In: IEEE Visualization, (VIS 05), pp. 191–198 (2005)
Ellsworth, D., Green, B., Henze, C., Moran, P., Sandstrom, T.: Concurrent visualization in a production supercomputing environment. IEEE Trans. Vis. Comput. Graph. 12(5), 997–1004 (2006)
Esnard, A., Richart, N., Coulaud, O.: A steering environment for online parallel visualization of legacy parallel simulations. In: Tenth IEEE International Symposium on Distributed Simulation and Real-Time Applications, (DS-RT’06), pp. 7–14 (2006)
Fabian, N., Moreland, K., Thompson, D., Bauer, A.C., Marion, P., Geveci, B., Rasquin, M., Jansen, K.E.: The paraview coprocessing library: a scalable, general purpose in situ visualization library. In: IEEE Symposium on Large Data Analysis and Visualization (LDAV), pp. 89–96 (2011)
Law, C.C., Henderson, A., Ahrens, J.: An application architecture for large data visualization: a case study. In: Proceedings of the IEEE 2001 Symposium on Parallel and Large-Data Visualization and Graphics, pp. 125–159 (2001)
Lorendeau, B., Fournier, Y., Ribes, A.: In-situ visualization in fluid mechanics using catalyst: a case study for code saturne. In: IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV), pp. 53–57, (2013)
Moreland, K.D., Thompson, D., Fabian, N.D., Ice, L.G.: Design issues for performing in situ analysis of simulation data. Technical Report SAND2009-2014, Sandia National Laboratories, pp. 7–18 (2009)
Ribes, A., Caremoli, C.: Salome platform component model for numerical simulation. In: 31st Annual International Computer Software and Applications Conference, (COMPSAC 2007), vol. 2, pp. 553–564 (2007)
Ross, R.B., Peterka, T., Shen, H.-W., Hong, Y., Ma, K.-L., Yu, H., Moreland, K.: Visualization and parallel i/o at extreme scale. J. Phys. Conf. Ser. 125(1), 012099 (2008)
Tu, T., Yu, H., Ramirez-Guzman, L., Bielak, J., Ghattas, O., Ma, K.-L., O’Hallaron, D.R.: From mesh generation to scientific visualization: an end-to-end approach to parallel supercomputing. In: Proceedings of the ACM/IEEE SC 2006 Conference, pp. 12–12 (2006)
Vezolle, P., Heyman, J., D’Amora, B., Braudaway, G., Magerlein, K., Magerlein, J., Fournier, Y.: Accelerating computational fluid dynamics on the ibm blue gene/p supercomputer. In: 22nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), pp. 159–166 (2010)
Brad Whitlock, J.-M.F., Meredith, J.S.: Parallel in situ coupling of simulation with a fully featured visualization system. In: Proc. of 11th Eurographics Symposium on Parallel Graphics and Visualization (EGPGV’11), pp. 101–109 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ribés, A., Lorendeau, B., Jomier, J., Fournier, Y. (2015). In-Situ Visualization in Computational Fluid Dynamics Using Open-Source tools: Integration of Catalyst into Code_Saturne . In: Bennett, J., Vivodtzev, F., Pascucci, V. (eds) Topological and Statistical Methods for Complex Data. Mathematics and Visualization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44900-4_2
Download citation
DOI: https://doi.org/10.1007/978-3-662-44900-4_2
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-44899-1
Online ISBN: 978-3-662-44900-4
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)