The paper presents the results of the implementation of computational algorithms of hydrodynamics for using graphics processor units. The implementation was carried out on the basis of the in-house CFD code SigmaFlow. Numerical simulations were based on the solution of the Navier-Stokes equations using SIMPLE-like procedure. The discretization of the differential equations was based on the control volume method on unstructured mesh. In the case of multiple CPU/GPU, parallel calculations were performed by means of domain decomposition. In the GPU-version of the code, basic computational functions were implemented as CUDA kernels to perform on GPUs. The code has been verified using several test cases. The computational efficiencies of several...
This thesis explores the possibility of using graphics processing units (GPUs) to compute approximat...
This study concerns an implementation of smoothed particle hydrodynamics (SPH) fluid simulation on a...
Design optimization relies heavily on time-consuming simulations, especially when using gradient-fre...
Modern graphics processing units (GPU) provide architectures and new programming models that enable ...
Computational fluid dynamics (CFD) is an area of fluid mechanics that involves using numerical metho...
A new paradigm for computing fluid flows is the use of Graphics Processing Units (GPU), which have r...
Graphics processor units (GPU) that are traditionally designed for graphics rendering have emerged a...
Graphics processor units (GPU) that are originally designed for graphics rendering have emerged as m...
Graphical processing units (GPUs), characterized by significant computing performance, are nowadays ...
The research presented in this dissertation is divided into two parts,the first part focuses\ud pure...
Smoothed Particle Hydrodynamics (SPH) is a numerical method commonly used in Computational Fluid Dyn...
Modern graphics hardware has emerged as a lowcost massively parallel computing platform, allowing sc...
Real-time fluid engineering simulations require significant computational power and high-resolution ...
In this PhD thesis, we present our research in the domain of high performance software for computati...
Smoothed Particle Hydrodynamics (SPH) is a numerical method commonly used in Computational Fluid Dyn...
This thesis explores the possibility of using graphics processing units (GPUs) to compute approximat...
This study concerns an implementation of smoothed particle hydrodynamics (SPH) fluid simulation on a...
Design optimization relies heavily on time-consuming simulations, especially when using gradient-fre...
Modern graphics processing units (GPU) provide architectures and new programming models that enable ...
Computational fluid dynamics (CFD) is an area of fluid mechanics that involves using numerical metho...
A new paradigm for computing fluid flows is the use of Graphics Processing Units (GPU), which have r...
Graphics processor units (GPU) that are traditionally designed for graphics rendering have emerged a...
Graphics processor units (GPU) that are originally designed for graphics rendering have emerged as m...
Graphical processing units (GPUs), characterized by significant computing performance, are nowadays ...
The research presented in this dissertation is divided into two parts,the first part focuses\ud pure...
Smoothed Particle Hydrodynamics (SPH) is a numerical method commonly used in Computational Fluid Dyn...
Modern graphics hardware has emerged as a lowcost massively parallel computing platform, allowing sc...
Real-time fluid engineering simulations require significant computational power and high-resolution ...
In this PhD thesis, we present our research in the domain of high performance software for computati...
Smoothed Particle Hydrodynamics (SPH) is a numerical method commonly used in Computational Fluid Dyn...
This thesis explores the possibility of using graphics processing units (GPUs) to compute approximat...
This study concerns an implementation of smoothed particle hydrodynamics (SPH) fluid simulation on a...
Design optimization relies heavily on time-consuming simulations, especially when using gradient-fre...