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Massively parallel quantum chemical density matrix renormalization group method.
Brabec, Jiri; Brandejs, Jan; Kowalski, Karol; Xantheas, Sotiris; Legeza, Örs; Veis, Libor.
Affiliation
  • Brabec J; J. Heyrovský Institute of Physical Chemistry, Academy of Sciences of the Czech Republic, Prague, Czech Republic.
  • Brandejs J; J. Heyrovský Institute of Physical Chemistry, Academy of Sciences of the Czech Republic, Prague, Czech Republic.
  • Kowalski K; Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic.
  • Xantheas S; Pacific Northwest National Laboratory, Richland, Washington, USA.
  • Legeza Ö; Pacific Northwest National Laboratory, Richland, Washington, USA.
  • Veis L; Strongly Correlated Systems "Lendület" Research group, Wigner Research Centre for Physics, Budapest, Hungary.
J Comput Chem ; 42(8): 534-544, 2021 Mar 30.
Article in En | MEDLINE | ID: mdl-33377527
We present, to the best of our knowledge, the first attempt to exploit the super-computer platform for quantum chemical density matrix renormalization group (QC-DMRG) calculations. We have developed the parallel scheme based on the in-house MPI global memory library, which combines operator and symmetry sector parallelisms, and tested its performance on three different molecules, all typical candidates for QC-DMRG calculations. In case of the largest calculation, which is the nitrogenase FeMo cofactor cluster with the active space comprising 113 electrons in 76 orbitals and bond dimension equal to 6000, our parallel approach scales up to approximately 2000 CPU cores.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Comput Chem Journal subject: QUIMICA Year: 2021 Document type: Article Affiliation country: Czech Republic Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Comput Chem Journal subject: QUIMICA Year: 2021 Document type: Article Affiliation country: Czech Republic Country of publication: United States