Physics – Computational Physics
Scientific paper
2011-07-18
Comp. Phys. Commun. 182, 1638-1644 (2011)
Physics
Computational Physics
8 pages, 9 figures, 2 tables
Scientific paper
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.
Bachmann Michael
Groß Jonathan
Janke Wolfhard
No associations
LandOfFree
Massively parallelized replica-exchange simulations of polymers on GPUs does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Massively parallelized replica-exchange simulations of polymers on GPUs, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Massively parallelized replica-exchange simulations of polymers on GPUs will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-272029