Abstract
In this paper we describe an optimized implementation of a Lattice Boltzmann (LB) code on the BlueGene/Q system, the latest generation massively parallel system of the BlueGene family. We consider a state-of-art LB code, that accurately reproduces the thermo-hydrodynamics of a 2D-fluid obeying the equations of state of a perfect gas. The regular structure of LB algorithms offers several levels of algorithmic parallelism that can be matched by a massively parallel computer architecture. However the complex memory access patterns associated to our LB model make it not trivial to efficiently exploit all available parallelism. We describe our implementation strategies, based on previous experience made on clusters of many-core processors and GPUs, present results and analyze and compare performances.
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References
Succi, S.: The Lattice Boltzmann Equation for Fluid Dynamics and Beyond. Oxford University Press, Oxford (2001)
Bartoloni, A., et al.: LBE simulations of Rayleigh-Benard convection on the APE100 parallel processor. Int. J. Mod. Phys. C4, 993 (1993)
Pohl, T., et al.: Optimization and profiling of the cache performance of parallel lattice Boltzmann codes. Parallel Process. Lett. 13(4), 549 (2003)
Wellein, G., Zeiser, T., Hager, G., Donath, S.: On the single processor performance of simple lattice Boltzmann kernels. Comput. Fluids 35, 910 (2006)
Biferale, L., et al.: A multi-GPU implementation of a D2Q37 lattice Boltzmann code. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Waśniewski, J. (eds.) PPAM 2011, Part I. LNCS, vol. 7203, pp. 640–650. Springer, Heidelberg (2012)
Biferale, L., et al.: Optimization of multi-phase compressible lattice Boltzmann codes on massively parallel multi-core systems. Procedia Comput. Sci. 4, 994–1003 (2011)
Sbragaglia, M., et al.: Lattice Boltzmann method with self-consistent thermo-hydrodynamic equilibria. J. Fluid Mech. 628, 299 (2009)
Scagliarini, A., et al.: Lattice Boltzmann methods for thermal flows: continuum limit and applications to compressible Rayleigh-Taylor systems. Phys. Fluids 22, 055101 (2010)
Chen, D., et al.: The IBM Blue Gene/Q interconnection network and message unit. In: Proceedings of the 2011 International Conference for High Performance Computing, Networking, Storage and Analysis, vol. 26 (2011)
Acknowledgements
We would like to thank CINECA (Bologna, Italy) and the Jülich Supercomputing Center (Jülich, Germany) for access to the Fermi and Juqueen BG/Q systems. This work has been done in the framework of the COKA and SUMA projects of INFN (Italy).
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Pivanti, M., Mantovani, F., Schifano, S.F., Tripiccione, R., Zenesini, L. (2014). An Optimized Lattice Boltzmann Code for BlueGene/Q. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2013. Lecture Notes in Computer Science(), vol 8385. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55195-6_36
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DOI: https://doi.org/10.1007/978-3-642-55195-6_36
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