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Improved parallelization techniques for the density matrix renormalization group
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DOI：10.1016/j.cpc.2010.03.018.png)
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Abstract
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A distributed-memory parallelization strategy for the density matrix renormalization group is proposed for cases where correlation functions are required. This new strategy has substantial improvements with respect to previous works. A scalability analysis shows an overall serial fraction of 9.4% and an efficiency of around 60% considering up to eight nodes. Sources of possible parallel slowdown are pointed out and solutions to circumvent these issues are brought forward in order to achieve a better performance. (C) 2010 Elsevier B.V. All rights reserved.
Keywords:
Density-matrix renormalization
Distributed programming
MPI
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