@Article{cmes.2022.020631,
AUTHOR = {Jinggang Deng, Bingquan Zuo, Huixin Luo, Weikang Xie, Jiashu Yang},
TITLE = {A Parallel Computing Schema Based on IGA},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {132},
YEAR = {2022},
NUMBER = {3},
PAGES = {965--990},
URL = {http://www.techscience.com/CMES/v132n3/48678},
ISSN = {1526-1506},
ABSTRACT = {In this paper, a new computation scheme based on parallelization is proposed for Isogeometric analysis. The
parallel computing is introduced to the whole progress of Isogeometric analysis. Firstly, with the help of the “tensorproduct” and “iso-parametric” feature, all the Gaussian integral points in particular element can be mapped to a
global matrix using a transformation matrix that varies from element. Then the derivatives of Gauss integral points
are computed in parallel, the results of which can be stored in a global matrix. And a middle layer is constructed to
assemble the final stiffness matrices in parallel. The numerical example results show that: the method presented in
the paper can reduce calculation time and improve the use rate of computing resources.},
DOI = {10.32604/cmes.2022.020631}
}