Abstract
Fluid instability plays a fundamental role in the research of astrophysics, energy power, chemical industry and new materials. The Smoothed Particle Hydrodynamics (SPH) method is a useful tool for simulating interfacial flows such as multiphase flow, high-velocity impact, explosion phenomenon. However, SPH method harnesses an enormous amount of particles for accuracy, which consumes a lot of computing power. In this paper, we present a massively parallel SPH scheme on the new Sunway supercomputer, SWSPH. In order to take full advantage of large-scale heterogeneous many-core computing system, we propose a series of parallel strategies and optimization methods. Experiments show that SWSPH has the capability of handling hundred-billion-particles simulations of fluid instability phenomenon on 39 million cores with a performance of 76% parallel efficiency.
National Natural Science Foundation of China (Grant No. 62102389).
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Zhang, Z. et al. (2023). SWSPH: A Massively Parallel SPH Implementation for Hundred-Billion-Particle Simulation on New Sunway Supercomputer. In: Cano, J., Dikaiakos, M.D., Papadopoulos, G.A., Pericàs, M., Sakellariou, R. (eds) Euro-Par 2023: Parallel Processing. Euro-Par 2023. Lecture Notes in Computer Science, vol 14100. Springer, Cham. https://doi.org/10.1007/978-3-031-39698-4_38
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