We propose a high-performance GPU solver for inverse homogenization problems
to design high-resolution 3D microstructures. Central to our solver is a
favorable combination of data structures and algorithms, making full use of the
parallel computation power of today's GPUs through a software-level design
space exploration. This solver is demonstrated to optimize homogenized
stiffness tensors, such as bulk modulus, shear modulus, and Poisson's ratio,
under the constraint of bounded material volume. Practical high-resolution
examples with 512^3(134.2 million) finite elements run in less than 32 seconds
per iteration with a peak memory of 21 GB. Besides, our GPU implementation is
equipped with an easy-to-use framework with less than 20 lines of code to
support various objective functions defined by the homogenized stiffness
tensors. Our open-source high-performance implementation is publicly accessible
at https://github.com/lavenklau/homo3d