Monte Carlo Algorithm for the Double Exchange Model Optimized for Parallel Computations

Physics – Condensed Matter – Strongly Correlated Electrons

Scientific paper

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9 pages with 1 figure and 1 table. To be published in Computer Phys. Comm

Scientific paper

10.1016/S0010-4655(01)00376-9

A new algorithm for Monte Carlo calculation of the double exchange model is studied. The algorithm is commonly applicable to wide classes of strongly correlated electron systems which involve itinerant electrons coupled with thermodynamically fluctuating fields. Using moment expansions of the density of states with Chebyshev polynomials, the algorithm provides an efficient calculation on large size clusters, especially on parallel computers. Benchmark calculations are performed on Beowulf-type cluster systems with over 100 CPUs in parallel.

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