Megapixel Topology Optimization on a Graphics Processing Unit
Department of Information Technology, Uppsala University, Box 337, 751 05 Uppsala, SUEDE
SIAM Review, Vol. 51, No. 4. (2009), pp. 707-721.
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.
November 21, 2010 by hgpu
