GPU-accelerated micropolar <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si66.svg"> <mml:msup> <mml:mi>δ</mml:mi> <mml:mo>+</mml:mo> </mml:msup> </mml:math> -SPH framework with enhanced particle shifting for complex fluid dynamics

Smoothed Particle Hydrodynamics (SPH) faces persistent challenges in computational efficiency and numerical accuracy. This paper presents a GPU-accelerated framework integrating micropolar δ + -SPH with enhanced stabilization techniques. The implementation features four key components: cross-platform execution on both NVIDIA and AMD GPUs via OpenGL compute shaders; an in-out buffer system enabling fully parallel inter-voxel particle migration without global synchronization; an enhanced particle shifting technique maintaining uniform distributions without explicit free-surface detection; and a micropolar formulation preserving vortical structures through bidirectional coupling between velocity and micro-rotation fields. These design choices yield substantial improvements: (a) benchmarks demonstrate 17–18% faster execution than DualSPHysics v5.4 and 97 × speedup over server-class CPU implementations; (b) lid-driven cavity simulations achieve L 2 errors below 1.3% for Reynolds numbers 100–10,000, while NACA0015 airfoil simulations at R e = 180 , 000 show lift coefficient agreement within 7% of reference data; (c) the micropolar formulation reduces aerodynamic coefficient fluctuations by 20–22% at stall conditions compared to classical Navier–Stokes; and (d) the zero-copy architecture eliminates I/O bottlenecks, enabling real-time visualization and parameter adjustment. This framework establishes SPH as a practical tool for real-time fluid dynamics simulation, bridging the gap between academic research and industrial applications. Program Title: GPU-Micropolar-DeltaPlus-SPH Developer(s): Chen Yixuan Licensing provisions: MIT License Programming language: Python, GLSL (OpenGL Shading Language) Computer: Desktop workstation or HPC system with OpenGL 4.5+ support Operating system: Linux, Windows 10/11 RAM: Minimum 8 GB, recommended 32 GB GPU Memory: Minimum 4 GB, recommended 12 GB or more Keywords: SPH, GPU computing, Micropolar fluids, δ + -SPH, CFD Classification: 02.70.-c (Computational techniques; simulations), 07.05.Tp (Computer modeling and simulation), 02.70.Ns (Molecular dynamics and particle methods), 47.11.Kb (Spectral and particle methods) External routines: OpenGL 4.5+, GLFW 3.3+ Nature of problem: Simulation of incompressible viscous flows at high Reynolds numbers with complex vortical structures, free surfaces, and moving boundaries Solution method: GPU-accelerated SPH with micropolar formulation, δ + -SPH stabilization, and enhanced particle shifting Unusual features: Zero-copy visualization pipeline, cross-platform GPU compatibility via OpenGL, adaptive particle shifting without free-surface detection Running time: Real-time (300+ FPS) for 10 6 particles on NVIDIA RTX 5090

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Publication Details

Journal
Computer Physics Communications
Published
2026-02-14
DOI
https://doi.org/10.1016/j.cpc.2026.110081
Primary Topic
Fluid Dynamics Simulations and Interactions
Type
article
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article

GPU-accelerated micropolar <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si66.svg"> <mml:msup> <mml:mi>δ</mml:mi> <mml:mo>+</mml:mo> </mml:msup> </mml:math> -SPH framework with enhanced particle shifting for complex fluid dynamics

Yoshie Sugiyama, Chen Yixuan, Shao Qiran
Computer Physics Communications
Fluid Dynamics Simulations and Interactions
article

GPU-accelerated micropolar <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si66.svg"> <mml:msup> <mml:mi>δ</mml:mi> <mml:mo>+</mml:mo> </mml:msup> </mml:math> -SPH framework with enhanced particle shifting for complex fluid dynamics

Yoshie Sugiyama, Chen Yixuan, Shao Qiran
article en

Abstract

Smoothed Particle Hydrodynamics (SPH) faces persistent challenges in computational efficiency and numerical accuracy. This paper presents a GPU-accelerated framework integrating micropolar δ + -SPH with enhanced stabilization techniques. The implementation features four key components: cross-platform execution on both NVIDIA and AMD GPUs via OpenGL compute shaders; an in-out buffer system enabling fully parallel inter-voxel particle migration without global synchronization; an enhanced particle shifting technique maintaining uniform distributions without explicit free-surface detection; and a micropolar formulation preserving vortical structures through bidirectional coupling between velocity and micro-rotation fields. These design choices yield substantial improvements: (a) benchmarks demonstrate 17–18% faster execution than DualSPHysics v5.4 and 97 × speedup over server-class CPU implementations; (b) lid-driven cavity simulations achieve L 2 errors below 1.3% for Reynolds numbers 100–10,000, while NACA0015 airfoil simulations at R e = 180 , 000 show lift coefficient agreement within 7% of reference data; (c) the micropolar formulation reduces aerodynamic coefficient fluctuations by 20–22% at stall conditions compared to classical Navier–Stokes; and (d) the zero-copy architecture eliminates I/O bottlenecks, enabling real-time visualization and parameter adjustment. This framework establishes SPH as a practical tool for real-time fluid dynamics simulation, bridging the gap between academic research and industrial applications. Program Title: GPU-Micropolar-DeltaPlus-SPH Developer(s): Chen Yixuan Licensing provisions: MIT License Programming language: Python, GLSL (OpenGL Shading Language) Computer: Desktop workstation or HPC system with OpenGL 4.5+ support Operating system: Linux, Windows 10/11 RAM: Minimum 8 GB, recommended 32 GB GPU Memory: Minimum 4 GB, recommended 12 GB or more Keywords: SPH, GPU computing, Micropolar fluids, δ + -SPH, CFD Classification: 02.70.-c (Computational techniques; simulations), 07.05.Tp (Computer modeling and simulation), 02.70.Ns (Molecular dynamics and particle methods), 47.11.Kb (Spectral and particle methods) External routines: OpenGL 4.5+, GLFW 3.3+ Nature of problem: Simulation of incompressible viscous flows at high Reynolds numbers with complex vortical structures, free surfaces, and moving boundaries Solution method: GPU-accelerated SPH with micropolar formulation, δ + -SPH stabilization, and enhanced particle shifting Unusual features: Zero-copy visualization pipeline, cross-platform GPU compatibility via OpenGL, adaptive particle shifting without free-surface detection Running time: Real-time (300+ FPS) for 10 6 particles on NVIDIA RTX 5090

Computer Physics CommunicationsVol. 322
Museum of Japanese Art Yamato Bunkakan (JP), The University of Osaka (JP)
Openalex Percentile: Top 52%
Fluid Dynamics Simulations and Interactions
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