Parallelization of Markov chain generation and its application to the multicanonical method

Details Parallelization of Markov chain generation and its application to the multicanonical method Parallelization of Markov chain generation and its application to the multicanonical method

2008-12-16

arxiv.org/abs/0812.2964v2

J. Phys. Soc. Jpn. 78 (2009) 074003

Physics

Condensed Matter

Statistical Mechanics

15 pages, 5 figures, uses elsart.cls

Scientific paper

We develop a simple algorithm to parallelize generation processes of Markov chains. In this algorithm, multiple Markov chains are generated in parallel and jointed together to make a longer Markov chain. The joints between the constituent Markov chains are processed using the detailed balance. We apply the parallelization algorithm to multicanonical calculations of the two-dimensional Ising model and demonstrate accurate estimation of multicanonical weights.

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