Efficient algorithms for parallelizing Monte Carlo simulations for 2D Ising spin models
β Scribed by Eunice E. Santos; Jeffrey M. Rickman; Gayathri Muthukrishnan; Shuangtong Feng
- Publisher
- Springer US
- Year
- 2008
- Tongue
- English
- Weight
- 621 KB
- Volume
- 44
- Category
- Article
- ISSN
- 0920-8542
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
We describe the development of Metropolis Monte Carlo algorithms for a general network of multiple instruction multiple data (MIMD) parallel processors. The implementation of farm, event, and systolic parallel algorithms on transputer-based computers is detailed and their relative performance discus
## Abstract A detailed comparison has been made of the performance of molecular dynamics and hybrid Monte Carlo simulation algorithms for calculating thermodynamic properties of 2D LennardβJonesium. The hybrid Monte Carlo simulation required an order of magnitude fewer steps than the molecular dyna