A CUDA-based implementation of an improved SPH method on GPU

Abstract

We present a CUDA-based parallel implementation on GPU architecture of a modified version of the Smoothed Particle Hydrodynamics (SPH) method. This modified formulation exploits a strategy based on the Taylor series expansion, which simultaneously improves the approximation of a function and its derivatives with respect to the standard formulation. The improvement in accuracy comes at the cost of an additional computational effort. The computational demand becomes increasingly crucial as problem size increases but can be addressed by employing fast summations in a parallel computational scheme. The experimental analysis showed that our parallel implementation significantly reduces the runtime, when compared to the CPU-based implementation.

On the assessment of the dust-air masses distribution regularity in the workshops of the reinforced concrete products’ manufacturing

“…On the example of the concrete mixing department, a 3D model was built and the air currents were modeledin it. To calculate the trajectory of particle motion, we used the SPH method [8,9], which, with a high degree of accuracy, gives an idea of the dust particlesmotionnature. The smoothed particle algorithm is convenient for setting boundary conditions on solid surfaces with complex geometry in three-dimensional space.…”

“…The diagrams of the air distribution organization (Figure 6,7,8,9) show the movement of dust-air masses, where the blue arrows represent the fine dust particles, and red arrows represent the coarse dust particles.…”