Scalable Finite-Element Viscoelastic Crustal Deformation Analysis Accelerated with Data-Driven Method

被引：0

作者：

Fujita, Kohei ^{[1
,2
]}

Murakami, Sota ^{[1
]}

Ichimura, Tsuyoshi ^{[3
,4
]}

Hori, Takane ^{[5
]}

Hori, Muneo ^{[6
]}

Lalith, Maddegedara ^{[1
]}

Ueda, Naonori ^{[4
]}

机构：

[1] The University of Tokyo, Earthquake Research Institute, Department of Civil Engineering, Japan

[2] Center for Computational Science, Riken, Japan

[3] The University of Tokyo, Earthq. Res. Inst., Dept. Civil Eng., Japan

[4] Center for Advanced Intelligence Project, Riken, Japan

[5] Japan Agency for Marine-Earth Science and Technology, Research Institute for Marine Geodynamics, Yokohama, Japan

[6] Research Institute for Value-Added-Information Generation, Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan

来源：

Proceedings of ScalAH 2022: 13th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems, Held in conjunction with SC 2022: The International Conference for High Performance Computing, Networking, Storage and Analysis | 2022年

关键词：

Engineering Village;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Crustal deformations - Data driven - Data-driven methods - Data-driven predictor - Deformation analysis - Finite element solver - Initial solution - Unstructured finite-element method - Viscoelastic crustal deformation analyse - Viscoelastics

引用

页码：18 / 25