Submatrix Updates For The Continuous-Time Auxiliary-Field Algorithm

PHYSICAL REVIEW B(2011)

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摘要
We present a submatrix update algorithm for the continuous-time auxiliary field method that allows the simulation of large lattice and impurity problems. The algorithm takes optimal advantage of modern CPU architectures by consistently using matrix instead of vector operations, resulting in a speedup of a factor of approximate to 8 and thereby allowing access to larger systems and lower temperature. We illustrate the power of our algorithm at the example of a cluster dynamical mean field simulation of the Neel transition in the three-dimensional Hubbard model, where we show momentum dependent self-energies for clusters with up to 100 sites.
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关键词
mean field,monte carlo method,hubbard model,three dimensional,heavy fermion
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