Engineering Mechanics

Proceedings Vol. 21 (2015)

ENGINEERING MECHANICS 2015

Copyright © 2015 Institute of Theoretical and Applied Mechanics, Academy of Sciences of the Czech Republic, v.v.i., Prague

 

V. Rek, I. Němec
pages 254 - 255, full text

This paper introduces a procedure for parallel computing with the Dynamic Relaxation method (DR) on a Graphic Processing Unit (GPU). This method facilitates the consideration of a variety of nonlinearities in an easy and explicit manner. Because of the presence of inertial forces, a static problem leads to a transient dynamic problem where the Central Difference Method is used as a method for direct integration of equations of motion which arise from the Finite Element model. The natural characteristic of this explicit method is that the scheme can be easily parallelized. The assembly of a global stiffness matrix is not required. Due to slow convergence of this method, the high performance which GPUs provide is strongly suitable for this kind of computation. NVIDIA’s CUDA is used for general-purpose computing on graphics processing units (GPGPU) for NVIDIA’s GPUs with CUDA capability.

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