| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6933264 | Journal of Computational Physics | 2014 | 9 Pages |
Abstract
- We parallelize the Metropolis Monte Carlo (MMC) algorithm on one CPU-GPU duet.
- The Adaptive Tempering Monte Carlo employs MMC and profits from this CPU-GPU implementation.
- Our benchmark shows a size scaling-up speedup of 62 for systems with 225,000 particles.
- The testbed involves a polymeric system of oligopyrroles in the condensed phase.
- The CPU-GPU parallelization includes dipole-dipole & Mie-Jones classic potentials.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Clifford Hall, Weixiao Ji, Estela Blaisten-Barojas,