Publication result detail

Parallel Computing Procedure for Dynamic Relaxation Method on GPU Using NVIDIA´s CUDA

REK, V.; NĚMEC, I.

Original Title

Parallel Computing Procedure for Dynamic Relaxation Method on GPU Using NVIDIA´s CUDA

English Title

Parallel Computing Procedure for Dynamic Relaxation Method on GPU Using NVIDIA´s CUDA

Type

Paper in proceedings (conference paper)

Original Abstract

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 usedas 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 with 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.

English abstract

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 usedas 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 with 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.

Keywords

Central Difference Method, Dynamic Relaxation, Finite Difference Method, Finite Element Method, GPGPU, GPU, NVIDIA CUDA, Parallel Computing

Key words in English

Central Difference Method, Dynamic Relaxation, Finite Difference Method, Finite Element Method, GPGPU, GPU, NVIDIA CUDA, Parallel Computing

Authors

REK, V.; NĚMEC, I.

RIV year

2017

Released

16.01.2016

Location

Switzerland

Book

Applied Mechanics and Materials

ISBN

1805-8256

Periodical

Engineering Mechanics ....

Volume

2016

Number

821

State

Czech Republic

Pages from

331

Pages to

337

Pages count

7

URL

https://www.engmech.cz/2015/im/doc/pdf/EA_Rek_055.pdf

BibTex

@inproceedings{BUT128593,
  author="Václav {Rek} and Ivan {Němec}",
  title="Parallel Computing Procedure for Dynamic Relaxation Method on GPU Using NVIDIA´s CUDA",
  booktitle="Applied Mechanics and Materials
",
  year="2016",
  journal="Engineering Mechanics ....",
  volume="2016",
  number="821",
  pages="331--337",
  address="Switzerland",
  doi="10.4028/www.scientific.net/AMM.821.331",
  issn="1805-8256",
  url="https://www.engmech.cz/2015/im/doc/pdf/EA_Rek_055.pdf"
}