The application of high level synthesis for implementation of lattice Boltzmann method in ARUZ

• Autorzy: Jabłoński G. , Kupis J.
• Języki publikacji: EN

Abstrakty

EN

The paper presents the implementation results of D2Q9 Lattice Boltzmann method on ARUZ, a massively parallel FPGA-based simulator built in Lodz, Poland in 2015, optimized for execution of the Dynamic Lattice Liquid algorithm. The results of tests on a single ARUZ board indicate, that the LBM simulation of 864 × 384 lattice on 18 panels of ARUZ would reach the performance of 206 · 10³ MLUPS (Million Lattice Updates per Second).

Słowa kluczowe

EN

distributed system; reconfigurable system; FPGA; Lattice Boltzmann Method; ARUZ

PL

system rozproszony; FPGA; metoda siatkowa Boltzmanna; ARUZ; Analizator Rzeczywistych Układów Złożonych

• Wydawca: Lodz University of Technology. Department of Microelectronics and Computer Science
• Czasopismo: International Journal of Microelectronics and Computer Science
• Rocznik: 2017
• Tom: Vol. 8, nr 1
• Strony: 36--42
• Opis fizyczny: Bibliogr. 14 poz., il. (w tym kolor.), wykr.

Twórcy

autor

Jabłoński G.

• Department of Microelectronics and Computer Science, Lodz University of Technology, Poland

autor

Kupis J.

• Department of Microelectronics and Computer Science, Lodz University of Technology, Poland

Bibliografia

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• [4] K. Hałagan, P. Polanowski, J. Jung, and M. Kozanecki, “Modelling of complex liquids with cooperative dynamics using aruz,” in Dedicated parallel machines - a breakthrough in computation ARUZ-Workshop 2016, Lodz, Poland, 1-3 December 2016, 2016, pp. 10-11.
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• [11] K. Sano, O. Pell, W. Luk, and S. Yamamoto, “Fpga-based streaming computation for lattice boltzmann method,” in 2007 International Conference on Field-Programmable Technology, ICFPT 2007, Kitakyushu, Japan, December 12-14, 2007, 2007, pp. 233-236.
• [12] K. Sano, Y. Kono, H. Suzuki, R. Chiba, R. Ito, T. Ueno, K. Koizumi, and S. Yamamoto, “Efficient custom computing of fully-streamed lattice boltzmann method on tightly-coupled fpga cluster,” SIGARCH Comput. Archit. News, vol. 41, no. 5, pp. 47-52, Jun. 2014.
• [13] G. Jabloński and J. Kupis, “Performance estimation of lattice Boltzmann method implementation in aruz,” in 2017 MIXDES - 24th International Conference ”Mixed Design of Integrated Circuits and Systems, June 2017, pp. 308-313.
• [14] A. G. Shet, S. H. Sorathiya, S. Krithivasan, A. M. Deshpande, B. Kaul, S. D. Sherlekar, and S. Ansumali, “Data structure and movement for lattice-based simulations,” Phys. Rev. E, vol. 88, p. 013314, Jul 2013.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).