Megapixel Topology Optimization on a Graphics Processing Unit

Eddie Wadbro, Martin Berggren
Department of Information Technology, Uppsala University, Box 337, 751 05 Uppsala, SUEDE
SIAM Review, Vol. 51, No. 4. (2009), pp. 707-721.


   title={Megapixel Topology Optimization on a Graphics Processing Unit},

   author={Wadbro, E. and Berggren, M.},

   journal={SIAM review},





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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.
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