Abstract

The dynamic relaxation method has been widely used for the design and analysis of cable-membrane structures. The method iteratively determines a static solution and it has already been parallelized with the MPI environment to speed up the analysis process. This paper discusses a new parallelization approach, which is programmed with the NVIDIA CUDA API and executed on GPU systems. Since a GPU system has a large number of cores and a separate memory from the computer therefore the original dynamic relaxation method has to be reorganized. The paper also discusses the performance measurements of the dynamic relaxation method on GPU systems.

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