  We report the first CUDA graphics-processing-unit (GPU) implementation of the
polymer field-theoretic simulation framework for determining fully fluctuating
expectation values of equilibrium properties for periodic and select aperiodic
polymer systems. Our implementation is suitable both for self-consistent field
theory (mean-field) solutions of the field equations, and for fully fluctuating
simulations using the complex Langevin approach. Running on NVIDIA Tesla T20
series GPUs, we find double-precision speedups of up to 30x compared to
single-core serial calculations on a recent reference CPU, while
single-precision calculations proceed up to 60x faster than those on the single
CPU core. Due to intensive communications overhead, an MPI implementation
running on 64 CPU cores remains two times slower than a single GPU.
