Improved parallelization techniques for the density matrix renormalization group

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

Research output: Contribution to journalArticlepeer-review

7 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 languageEnglish (US)
Pages (from-to)1346-1351
Number of pages6
JournalComputer Physics Communications
Volume181
Issue number8
DOIs
StatePublished - Aug 2010
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Physics and Astronomy(all)

Fingerprint Dive into the research topics of 'Improved parallelization techniques for the density matrix renormalization group'. Together they form a unique fingerprint.

Cite this