Journal
COMPUTERS & STRUCTURES
Volume 182, Issue -, Pages 119-136Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compstruc.2016.10.018
Keywords
Evolutionary topology optimization; Isosurfaces; GPU computing; Large scale; Multigrid preconditioning
Funding
- Ministry of Economy and Competitiveness of the Government of Spain [DPI2016-77538-R]
- Fundacion Seneca - Agencia de Ciencia y Tecnologia de la Region de Murcia [19274/PI/14]
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Evolutionary topology optimization of three-dimensional continuum structures is a computationally demanding task in terms of memory consumption and processing time. This work aims to alleviate these constraints proposing a well-suited strategy for Graphics Processing Unit (GPU) computing. Such a proposal adopts a fine-grained GPU instance of matrix-free iterative solver for structural analysis and an efficient GPU implementation for isosurface extraction and volume fraction calculation. The performance of the solving stage is evaluated using two preconditioning techniques, including the comparison with the sparse-matrix CPU implementation. The proposal is evaluated using topology optimization problems for real-world applications. (C) 2016 Elsevier Ltd. All rights reserved.
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