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In this paper, we will provide a summary of general purpose computation of GPU, including graphic pipeline, the history of GPU architecture evolution, software environment, as well as the CFD applications on GPU.
The area known as Computational Fluid Dynamics (CFD) is one of the most prominent areas in scientific computing.
Because of the high computational requirement of solving N-S equations, researchers tried to map vary of CFD solvers to GPU.
By examining single- and multi-GPU lattice-Boltzmann simulations with ANOVA, they showed that all the lattice-Boltzmann simulations primarily depend on effects corresponding to simulation geometry and decomposition, and not on the architectural aspects of GPU.
In this paper, we provide a summary the GPU computing in CFD applications to guild the development CFD applications on GPU.

As a new method of fluid flow , computational fluid dynamics (Computational Fluid Dynamics, CFD) in various industrial areas to be more widely used, at present , CFD methods have started to become enlarged engineering plant optimization and quantitative design tools.
We can use existing models and CFD software flow jet pump the fluid simulation to simulate and study the different working media , was pumping gas state, the pump outlet conditions , gas mixing conditions and other factors on the jet pump performance effects and in-depth analysis of fluid flow within the jet pump status , according to the simulation results , and then the steam jet pump design optimization.
Pianthong.CFD analysis of ejector in a combined ejector cooling system[J].
Validation of the CFD results[J].
Investigation on hydrodynamics and mass transfer characteristics of a gas-liquid ejector using three-dimensional CFD modeling[J].

Numerical Simulations In order to verify the prediction formulas and get an accurate performance data of the turbine machine, commercial CFD (Computational Fluid Dynamics) software is used with FEA (Finite Element Analysis).
Based on the simulations with CFD software, accurate driving torque and driving power are got.
Buffard: Axial-Flow Microturbine with Electromagnetic Generator: Design, CFD Simulation, and Prototype Demonstration. 17th IEEE International Conference on Micro Electro Mechanical Systems, (2004), p. 568
Dhariwal: Experimental and Simulation Analysis of Microturbines.
Dhariwal: Modelling and Simulation of A Fluid-Driven Microturbine.

The flow simulation emulated the Cedval A1-1 single-building experiment and the concentration distribution for two scenarios was synthetically produced by simulation.
When pollutant releases occur over urban sites Computational Fluid Dynamics (CFD) is usually applied to solve the dispersion model.
CFD can naturally include complicated boundary geometries, initial conditions, chemical reactions, deposition processes, etc.
The model implementation is performed within the CFD commercial software Ansys Fluent.
The flow simulation emulates the Cedval A1-1 single building experiment [7].

Three new shapes of hull bow design for the multipurpose amphibious vehicle were conducted at several speeds to investigate the hydrodynamic phenomena using Computational Fluid Dynamics (CFD, RANS code), which is applied by Ansys-CFX14.0 and Maxsurf.
This research would be done via CFD (ANSYS-CFX 14.0) and analyzed the hydrodynamic resistance.
A significant number of applications of computational fluid dynamics (CFD) tools to hydrodynamic optimization, mostly for reducing calm-water drag and wave patterns, demonstrate a growing interest in optimization.
Pressure drag (i.e., form resistance) and wave resistance are frequently optimized using Computational Fluid Dynamics (CFD) but the total wetted surface remains a given.
CFD will play an important role in determining these causes by providing a detailed understanding of the physical phenomena.

Numerical simulation with CFD is employed to reduce the cost and shorten the design period.
In this paper, five different grid numbers are selected for the numerical simulation.
The flow simulation of a lowspecific speedhigh-speed centrifugal pump.
The effects of computational domain and several keyissues on CFD simulated results for centrifugal pumps.
CFD simulation of 3D flow in large-bore axial-flow pump with halfelbow suction sump[J], J Hydro, Ser.

Researcher could resolve it by adopting the latest Computer Fluid Design (CFD) airbag simulation technique which have a better simulation result of OOP load, since CFD method provide more realistic airbag deployment simulations especially in the first few milliseconds which are significant in OOP test.
Ruff et al. [28] and Haufe et al. [29] also agreed that CFD did provide more realistic airbag deployment simulations especially in the first few milliseconds which are significant in OOP test.
However, it may need more effort in setting up the simulation model.
Recently, Potula et al. [32] using CFD simulation method, called smooth particle hydrodynamics (SPH) in LS-Dyna to evaluate the safety of occupant when side curtain airbag deployed either occupant is in-position or OOP.
By adopting latest CFD airbag simulation methodology, simulation result of OOP load case are more accurate, since CFD method provide more realistic airbag deployment simulations especially in the first few milliseconds which are significant in OOP test.

With some footbridge as the research background, different wind pressure produced by different train speed acting on the bridge surface simulated by CFD method has been adopted to the bridge, thus influence of train speed on vibration responses of footbridge induced by wind due to main line train are obtained.
The relevant investigations on vibration responses, wind pressure simulation and measurement on adjacent buildings induced by high-speed train have been studied recent years and acquired flourish achievements [1-5].
The whole procedure of wind pressure acting on the bridge surface can be adopted by CFD methods which can be seen from literature [6].
Numerical simulation of aerodynamic characteristics of roof passing by high-speed railway train [J].
Simulation for Wind Pressure of Footbridge Induced by Main Line Train [J].

One of the most promising ways to resolve the above problem is to use high-accuracy computational fluid dynamics (CFD) simulators of modes of gas mixture transmission through long, branched pipeline systems (CFD-simulator) [1].
Such CFD-simulators form the basis of computational kernel for Gas Distribution Discrepancy Computer Analytical System (CAS).
As noted above, the time interval of interest in numerical simulations of problem (1) is divided into time steps, 0,…, Nt.
References [1] Seleznev, V.E.: Numerical Simulation of a Gas Pipeline Network Using Computational Fluid Dynamics Simulators.
[2] Seleznev, V.E.: Numerical monitoring of natural gas distribution discrepancy using CFD-simulator.

Of course, the complex flow geometry provides a very challenging problem for CFD.
Therefore, a precisely benchmarking effort is needed to validate the CFD results.
PIV, PLIF and CFD can be used together to obtain confident results.
While many other literatures focused on the development of numerical simulations in this field [6-10].
The obtained data shows the possibility of CFD validation and benchmarking.