  We discuss the advantages of parallelization by multithreading on graphics
processing units (GPUs) for parallel tempering Monte Carlo computer simulations
of an exemplified bead-spring model for homopolymers. Since the sampling of a
large ensemble of conformations is a prerequisite for the precise estimation of
statistical quantities such as typical indicators for conformational
transitions like the peak structure of the specific heat, the advantage of a
strong increase in performance of Monte Carlo simulations cannot be
overestimated. Employing multithreading and utilizing the massive power of the
large number of cores on GPUs, being available in modern but standard graphics
cards, we find a rapid increase in efficiency when porting parts of the code
from the central processing unit (CPU) to the GPU.
