Journal
COMPUTER PHYSICS COMMUNICATIONS
Volume 181, Issue 8, Pages 1346-1351Publisher
ELSEVIER
DOI: 10.1016/j.cpc.2010.03.018
Keywords
Density-matrix renormalization; Distributed programming; MPI
Funding
- CONICET [PIP 5254]
- ANPCyT [PICT 2006/483]
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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.
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