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Parallel Monte Carlo simulations by asynchronous domain decomposition
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DOI：10.1016/S0010-4655(03)00289-3.png)
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A simple general method for performing Metropolis Monte Carlo condensed matter simulations on parallel processors is examined. The method is based on the cyclic generation of temporary discrete domains within the system, which are separated by distances greater than the inter-particle interaction range. Particle configurations within each domain are then sampled independently by an assigned processor, whilst particles outside these domains are held fixed. Results for a simulated Lennard-Jones fluid confirm that the method rigorously satisfies the detailed balance condition, and that the efficiency of configurational sampling scales almost linearly with the number of processors. Furthermore, the number of iterations performed on a given processor can be essentially arbitrary, with very low levels of inter-process communication. Provided the CPU time per step is not state-dependent, the method can then be used to perform large calculations as unsupervised background tasks on heterogeneous networks. (C) 2003 Elsevier B.V. All rights reserved.
Keyword:
Monte Carlo algorithms
metropolis method
molecular simulation
statistical mechanics
grid computing
distributed computing
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3.4
论文数:
1.2W
被引数:
3.7W
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