Improved parallelization techniques for the density matrix renormalization group

Julián Rincón; D. J. García; K. Hallberg

doi:10.1016/j.cpc.2010.03.018

Improved parallelization techniques for the density matrix renormalization group

Julián Rincón, D. J. García, K. Hallberg

Research output: Contribution to journal › Research Article › peer-review

8 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	1346-1351
Number of pages	6
Journal	Computer Physics Communications
Volume	181
Issue number	8
DOIs	https://doi.org/10.1016/j.cpc.2010.03.018
State	Published - Aug 2010
Externally published	Yes

All Science Journal Classification (ASJC) codes

Hardware and Architecture
General Physics and Astronomy

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10.1016/j.cpc.2010.03.018

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title = "Improved parallelization techniques for the density matrix renormalization group",

abstract = "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.",

author = "Juli{\'a}n Rinc{\'o}n and Garc{\'i}a, \{D. J.\} and K. Hallberg",

year = "2010",

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doi = "10.1016/j.cpc.2010.03.018",

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journal = "Computer Physics Communications",

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T1 - Improved parallelization techniques for the density matrix renormalization group

AU - Rincón, Julián

AU - García, D. J.

AU - Hallberg, K.

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N2 - 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.

AB - 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.

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U2 - 10.1016/j.cpc.2010.03.018

DO - 10.1016/j.cpc.2010.03.018

M3 - Research Article

AN - SCOPUS:77953128677

SN - 0010-4655

VL - 181

SP - 1346

EP - 1351

JO - Computer Physics Communications

JF - Computer Physics Communications

IS - 8

ER -

Improved parallelization techniques for the density matrix renormalization group

Abstract

All Science Journal Classification (ASJC) codes

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