ICCM Conferences, The 14th International Conference of Computational Methods (ICCM2023)

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High performance computing based on HDDM and AI applications
Ryuji Shioya

Last modified: 2023-07-16

Abstract


We have been developing an open source computer-aided engineering (CAE) software, ADVENTURE, which is a general-purpose parallel finite element analysis system and can simulate a 3D FEM on meshes over 10 billion degrees of freedom (DOF) with supercomputer. For supercomputer architecture such as an exa-scale system, to obtain high computational efficiency for software that requires large scale numerical calculation data processing, a programming model that considers the hierarchical structure of hardware, such as a microprocessor and memory, is necessary. From this point of view, ADVENTURE system was developed using the hierarchical domain decomposition method (HDDM) as the basic technology for a large-scale data system. HDDM is technology developed by ourselves mainly for numerical analysis method. In particular, we have developed application-specific system software that can obtain high performance by focusing on simulation of continuum mechanics by finite element method (FEM) and particle method which are highly demanded by academic research and industry. Also, we developed LexADV [1,2], an open-source software library, was developed for the extreme-scale, numerical simulations in continuum mechanics based on HDDM that is extended to pre- and post-processing activities including mesh generation and visualization of large-scale data, for the exascale simulation.

In this study, some applications of 100 billion DOFs solid analysis of Pantheon model, 300 million DOFs electromagnetic field analysis of a human body, 400 million particles tsunami run-up analysis and also some applications using AI for various industries i.e., meat industry, hotel industry and education [3] are developed.


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