High resolution topology optimization using graphics processing units (GPUs)

Challis, Vivien J., Roberts, Anthony P. and Grotowski, Joseph F. (2014) High resolution topology optimization using graphics processing units (GPUs). Structural and Multidisciplinary Optimization, 49 2: 315-325. doi:10.1007/s00158-013-0980-z

Author Challis, Vivien J.
Roberts, Anthony P.
Grotowski, Joseph F.
Title High resolution topology optimization using graphics processing units (GPUs)
Journal name Structural and Multidisciplinary Optimization   Check publisher's open access policy
ISSN 1615-147X
Publication date 2014-01-01
Year available 2013
Sub-type Article (original research)
DOI 10.1007/s00158-013-0980-z
Open Access Status Not yet assessed
Volume 49
Issue 2
Start page 315
End page 325
Total pages 11
Place of publication Heidelberg, Germany
Publisher Springer
Language eng
Abstract We present a Graphics Processing Unit (GPU) implementation of the level set method for topology optimization. The solution of three-dimensional topology optimization problems with millions of elements becomes computationally tractable with this GPU implementation and NVIDIA supercomputer-grade GPUs. We demonstrate this by solving the inverse homogenization problem for the design of isotropic materials with maximized bulk modulus. We trace the maximum bulk modulus optimization results to very high porosities to demonstrate the detail achievable with a high computational resolution. By utilizing a parallel GPU implementation rather than a sequential CPU implementation, similar increases in tractable computational resolution would be expected for other topology optimization problems.
Keyword Graphics Processing Unit(GPU) computing
Inverse homogenization
Topology optimization
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID DP110101653
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
Official 2014 Collection
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Citation counts: TR Web of Science Citation Count  Cited 13 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 15 times in Scopus Article | Citations
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