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Megapixel topology optimization on a graphics processing unit
Uppsala University, Department of Information Technology, Division of Scientific Computing. (UMIT)
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Design Optimization, UMIT)ORCID iD: 0000-0003-0473-3263
2009 (English)In: SIAM Review, ISSN 0036-1445, E-ISSN 1095-7200, Vol. 51, no 4, 707-721 p.Article in journal (Refereed) Published
Abstract [en]

We show how the computational power and programmability of modern graphics processing units (GPUs) can be used to efficiently solve large-scale pixel-based material distribution problems using a gradient-based optimality criterion method. To illustrate the principle, a so-called topology optimization problem that results in a constrained nonlinear programming problem with over 4 million decision variables is solved on a commodity GPU.

Place, publisher, year, edition, pages
Society for Industrial and Applied Mathematics , 2009. Vol. 51, no 4, 707-721 p.
Keyword [en]
topology optimization, Poisson's equation, GPU, HPC
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:umu:diva-40285DOI: 10.1137/070699822OAI: oai:DiVA.org:umu-40285DiVA: diva2:399147
Available from: 2011-02-21 Created: 2011-02-21 Last updated: 2017-12-11

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Wadbro, EddieBerggren, Martin

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