Smoothed Particle Hydrodynamics Implementation Using Compute Shaders

Smoothed Particle Hydrodynamics (SPH) has emerged as a versatile method for simulating fluid dynamics and various natural phenomena [6]. In this paper, we present an approach to SPH simulation using compute shaders, leveraging their parallel processing capabilities to enhance performance and accuracy. Our implementation focuses on efficient data organization, neighbor search, force computation, and particle integration within the compute shader framework. We discuss the intricacies of translating the SPH algorithm into the shader domain and optimizing memory access patterns to achieve high computational throughput. Through comprehensive experimentation, we demonstrate the effectiveness of our compute shader-based SPH implementation, showcasing improved simulation fidelity and reduced computation time when compared to traditional CPU-based approaches. We also discuss the implications of our findings for real-time fluid simulations and other computational domains. Our work contributes to the ongoing exploration of compute shaders in graphics and simulation, offering insights into the potential of parallel computing for advancing SPH techniques.