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

Abstract:

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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.

Info:

Periodical:

Key Engineering Materials (Volumes 462-463)

Edited by:

Ahmad Kamal Ariffin, Shahrum Abdullah, Aidy Ali, Andanastuti Muchtar, Mariyam Jameelah Ghazali and Zainuddin Sajuri

Pages:

605-610

DOI:

10.4028/www.scientific.net/KEM.462-463.605

Citation:

H. Kawai et al., "Large Scale Elasto-Plastic Analysis Using Domain Decomposition Method Optimized for Multi-Core CPU Architecture", Key Engineering Materials, Vols. 462-463, pp. 605-610, 2011

Online since:

January 2011

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Price:

$35.00

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