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GPU-based acceleration of computations in elasticity problems solving by parametric integral equations system

机译:参数积分方程系统求解弹性问题中基于GPU的计算加速

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Application of techniques for modelling of boundary value problems implies two conflicting requirements: obtaining high accuracy of the results and speed of the solution. Accurate results can be obtained only by using appropriate models and algorithms. In the previous papers the authors applied the parametric integral equations system (PIES) in modelling and solving boundary value problems. The first requirement was satisfied - the results were obtained with very high accuracy. This paper fulfils the second requirement by novel approach to accelerate PIES. Graphics cards (CPUs) programming for numerical calculations in general purpose applications (GPGPU) using NVIDIA CUDA is used for this purpose. The speed of calculations increased up to 80 times whereas high accuracy of the solutions was maintained. Examples included in this paper concern solving elasticity problems which are modelled by three-dimensional Navier-Lame equations.
机译:边值问题建模技术的应用意味着两个相互矛盾的要求:获得结果的高精度和解的速度。只有使用适当的模型和算法才能获得准确的结果。在先前的论文中,作者将参数积分方程系统(PIES)应用于建模和求解边值问题。满足了第一个要求-以非常高的精度获得了结果。本文通过新颖的方法来满足PIES的第二个要求。为此,使用使用NVIDIA CUDA在通用应用程序(GPGPU)中进行数值计算的图形卡(CPU)编程。计算速度提高了80倍,同时保持了解决方案的高精度。本文包含的示例涉及解决弹性问题,这些问题由三维Navier-Lame方程建模。

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