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FPGA-Based Scalable Custom Computing Accelerator for Computational Fluid Dynamics Based on Lattice BoltzmannMethod

In: Sustained Simulation Performance 2014

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  • Kentaro Sano

    (Tohoku University, Graduate School of Information Sciences)

Abstract

This paper presents a tightly-coupled FPGA cluster for custom computing of fluid dynamics simulation, and evaluates its performance with prototype implementation. For scalable and efficient computation with a lot of FPGA accelerators, we propose an accelerator-domain network (ADN) that brings low-latency and high-speed data transfer by directly connecting FPGAs. We describe implementation of a prototype cluster node with four FPGAs, and their on-chip framework for high-speed data streaming and computing. In performance evaluation, we demonstrate that our custom computing machine for fluid dynamics computation with the lattice-Boltzmann method (LBM) exploits both temporal and spatial parallelism, and scales the performance well with the number of FPGAs. As a result, we achieved 98.8 % of the peak performance of 73.0 GFlop/s with four FPGAs.

Suggested Citation

  • Kentaro Sano, 2015. "FPGA-Based Scalable Custom Computing Accelerator for Computational Fluid Dynamics Based on Lattice BoltzmannMethod," Springer Books, in: Michael M. Resch & Wolfgang Bez & Erich Focht & Hiroaki Kobayashi & Nisarg Patel (ed.), Sustained Simulation Performance 2014, edition 127, pages 187-201, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-10626-7_16
    DOI: 10.1007/978-3-319-10626-7_16
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