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Inspired by recent high performance computations via graphics processing units (GPUs), a co-located finite volume incompressible flow solver is implemented on a GeForce GTX480 chip with 480 processors. The CUDA programming standard is used on GPU and the CPU is employed through a C++ code. The lid driven cavity test case is used to measure the computational speed up due to the use of GPU as compared...
Based on the features of GPU architecture, this paper introduces CUDA into an existing Euler solver software for a 3-D Cartesian grid. Theories and Techniques used to solve the equations with finite volume methods using an explicit scheme are described. Two versions of GPU-based Cart Solver are implemented and optimized. For a real and complex model, the implementation on a NVIDIA GTX460se GPU by...
A parallel distributed CUDA implementation of a Lattice Boltzmann Method for multiphase flows with large density ratios is described in this paper. Validation runs studying the terminal velocity of a rising bubble under the effect of gravity show good agreement with the expected theoretical values. The code is benchmarked against the performance of a typical CPU implementation of the same algorithm...
Computational processors NVIDIA Tesla GPU based on the new Fermi generation of CUDA architecture are intended to perform massively parallel calculations applicable to various parts of the scientific and technical research, including the area of fluid dynamics modeling, in particular the simulation of real gas flow. In this paper we show that a significant acceleration of simulation calculations can...
Main objective of this paper is to outline possible ways how to achieve a substantial acceleration in case of advection-diffusion equation (A-DE) calculation, which is commonly used for a description of the pollutant behavior in atmosphere. A-DE is a kind of partial differential equation (PDE) and in general case it is usually solved by numerical integration due to its high complexity. These types...
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