Abstract
In this article we present a performance study of our finite element package Hierarchical Hybrid Grids (HHG) on current European supercomputers. HHG is designed to close the gap between the flexibility of finite elements and the efficiency of geometric multigrid by using a compromise between structured and unstructured grids. A coarse input finite element mesh is refined in a structured way, resulting in semi-structured meshes. Within this article we compare and analyze the efficiencies of the stencil-based code on those clusters.
Keywords
- Parallel multigrid
- Performance analysis
- HHG
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Baumgardner, J.R.: Three-dimensional treatment of convective flow in the earth’s mantle. J. Stat. Phys. 39(5/6), 501–511 (1985)
Bergen, B., Gradl, T., Hülsemann, F., Rüde, U.: A massively parallel multigrid method for finite elements. Comput. Sci. Eng. 8(6), 56–62 (2006)
Brandt, A.: Multi-level adaptive solutions to boundary-value problems. Math. Comput. 31(138), 333–390 (1977)
Burstedde, C., Ghattas, O., Gurnis, M., Stadler, G., Tan, E., Tu, T., Wilcox, L.C., Zhong, S.: Scalable adaptive mantle convection simulation on petascale supercomputers. In: Proceedings of the 2008 ACM/IEEE Conference on Supercomputing, p. 62. IEEE Press (2008)
Datta, K., Williams, S., Volkov, V., Carter, J., Oliker, L., Shalf, J., Yelick, K.: Auto-tuning the 27-point stencil for multicore. In: Proceedings of the Fourth International Workshop on Automatic Performance Tuning (iWAPT2009) (2009)
Datta, K., Yelick, K.: Auto-tuning stencil codes for cache-based multicore platforms. Ph.D. thesis, University of California, Berkeley (2009)
Fattebert, J.L., Gygi, F.: Density functional theory for efficient ab initio molecular dynamics simulations in solution. J. Comput. Chem. 223, 662–666 (2002)
Gmeiner, B., Gradl, T., Köstler, H., Rüde, U.: Highly parallel geometric multigrid algorithm for hierarchical hybrid grids. In: Binder, K., Münster, G., Kremer, M. (eds.) NIC Symposium 2012. Publication series of the John von Neumann Institute for Computing, vol. 45, pp. 323–330. Jülich (2012)
Gmeiner, B., Köstler, H., Stürmer, M., Rüde, U.: Parallel multigrid on hierarchical hybrid grids: a performance study on current high performance computing clusters. Concurr. Comput. Pract. Exp. (2012). http://dx.doi.org/10.1002/cpe.2968
Hackbusch, W.: Multi-Grid Methods and Applications. Springer, Heidelberg (1985)
Sanchez, V., Sued, M., Scherlis, D.: First-principles molecular dynamics simulations at solid-liquid interfaces with a continuum solvent. J. Chem. Phys. 131(17), 174108 (2009)
Schmid, R., Tafipolsky, M., König, P.H., Köstler, H.: Car-Parrinello molecular dynamics using real space wavefunctions. Phys. Status Solidi B 243(5), 1001–1015 (2006)
Acknowledgements
The work was supported by the International Doctorate Program (IDK) within the Elite Network of Bavaria. The authors gratefully acknowledge the Gauss Centre for Supercomputing (GCS) for providing computing time through the John von Neumann Institute for Computing (NIC) on the GCS share of the supercomputer JUQUEEN at Jülich Supercomputing Centre (JSC). GCS is the alliance of the three national supercomputing centres HLRS (Universität Stuttgart), JSC (Forschungszentrum Jülich), and LRZ (Bayerische Akademie der Wissenschaften), funded by the German Federal Ministry of Education and Research (BMBF) and the German State Ministries for Research of Baden-Württemberg (MWK), Bayern (StMWFK) and Nordrhein-Westfalen (MIWF).
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Gmeiner, B., Rüde, U. (2014). Peta-Scale Hierarchical Hybrid Multigrid Using Hybrid Parallelization. In: Lirkov, I., Margenov, S., Waśniewski, J. (eds) Large-Scale Scientific Computing. LSSC 2013. Lecture Notes in Computer Science(), vol 8353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43880-0_50
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DOI: https://doi.org/10.1007/978-3-662-43880-0_50
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