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In this paper finite element method for 3D DC resistivity modeling accelerated using multi-GPU (Graphics Processing Unit). Solution of the large system of linear equations is the most expensive computation in finite element method performed in GPUs to reduce the computational time. Conjugate gradient solver used to solve large system of linear equations. We developed kernel for conjugate gradient...
Graphics Processing Unit (GPU) has obtained great success in scientific computations for its tremendous computational horsepower and very high memory bandwidth. This paper discusses the way to accelerate the finite element method (FEM) for elasticity problem on NVIDIA GPUs using Compute Unified Device Architecture (CUDA), mainly including formation and solution of finite element equations. Multiple...
We develop a parallel algorithm, by using CUDA, for calculating the concentration of multifunctional magnetic nanoparticles in capillaries under the influences of magnetic force, blood flow and diffusion process. The task of computing particle, concentration on the considered plane is distributed to computational threads. The continuity equation describing the time rate of change of the multifunctional...
In modern integrated circuit (IC) designs with feature size finer than 90nm, the stress among different material layers is playing an important role in determining device performance. The stress can be classified into two categories, stress deliberately introduced during semiconductor process, and stress unintentionally formed through the synergy of different processing steps. Among different types...
The use of the GPU as a general purpose processor is becoming more popular and there are different approaches for this kind of programming. In this paper we present a comparison between different implementations of the OpenGL and CUDA approaches for solving our test case, a weighted Jacobi iteration with a structured matrix originating from a finite element discretization of the elliptic PDE part...
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