GPU accelerated replica-exchange simulations of polymers

Precise estimation of physical quantities using Monte Carlo computer simulations strongly depends on the amount of statistical data gathered during the simulation. Being able to increase the performance of the sampling process will allow more accurate results in a shorter time period. To employ the parallel tempering replica-exchange algorithm on parallel hardware such as multicore CPUs and GPUs turns out to be very suitable for the task. We achieve rapid speedups in our investigation of an exemplified bead-spring polymer model. Identification and classification of phase-like transitions were done by analyzing the microcanonical entropy.