Name
Abstract | ||
|---|---|---|
We implemented the elastic lattice polymer model on the GPU (Graphics Processing Unit), and show that the GPU is very efficient for polymer simulations of dense polymer melts. The implementation is able to perform up to 4.1⋅109 Monte Carlo moves per second. Compared to our standard CPU implementation, we find an effective speed-up of a factor 92. Using this GPU implementation we studied the equilibrium properties and the dynamics of non-concatenated ring polymers in a melt of such polymers, using Rouse modes. With increasing polymer length, we found a very slow transition to compactness with a growth exponent ν≈1/3. Numerically we find that the longest internal time scale of the polymer scales as N3.1, with N the molecular weight of the ring polymer. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.jcp.2018.02.027 | Journal of Computational Physics |
Keywords | Field | DocType |
GPU,Ring polymers,Monte Carlo simulations,Chromatin organization | Monte Carlo method,Polymer,Computational physics,Lattice (order),Exponent,Mathematical analysis,Compact space,Acceleration,Graphics processing unit,Elasticity (economics),Mathematics | Journal |
Volume | ISSN | Citations |
363 | 0021-9991 | 1 |
PageRank | References | Authors |
0.39 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raoul D. Schram | 1 | 3 | 0.83 |
| Gerard T. Barkema | 2 | 36 | 3.24 |