Large Scale Elasto-Plastic Analysis Using Domain Decomposition Method Optimized for Multi-Core CPU Architecture

Abstract:

To solve a large scale elasto-plastic dynamics analysis of a complicated structure, such as a seismic analysis of a nuclear power plant and a skyscraper, a new implementation strategy for a parallel finite element code, suitable on a parallel supercomputer with modern multi-core / many core scalar CPUs, has been required. In this work, we propose a new design and programming style to optimize the performance of a parallel finite element code based on the domain-decomposition method (DDM) on multi-core CPUs, considering their cache hierarchy. Instead of a traditional, memory access-intensive approach, DS (Direct solver-based matrix Storage), two new matrix storage-free approaches, DSF (Direct solver-based matrix Storage-Free) and ISF (Iterative solver-based matrix Storage-Free), are proposed. Our new DSF/ISF-based DDM solver is not only more efficient in memory usage but also comparable in computational time against existing DS-based DDM solvers on multi-core CPU architectures.

• Periodical: Key Engineering Materials (Volumes 462-463)
• Pages: 605-610
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.462-463.605
• Online since: January 2011
• Authors: Hiroshi Kawai, Masao Ogino, Ryuji Shioya, Shinobu Yoshimura
• Keywords: Balancing Domain Decomposition, Domain Decomposition Method, Finite Element Model (FEM), Matrix Storage-Free, Multi-Core CPU, Parallel Processing, Structural Analysis

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