Megapixel topology optimization on a graphics processing unit

Abstract. 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 program-ming problem with over 4 million decision variables is solved on a commodity GPU