Parallelization strategies for density matrix renormalization group algorithms on shared-memory systems

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

Organisationseinheiten

Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
FachzeitschriftJournal of computational physics
PublikationsstatusVeröffentlicht - 2004

Zitieren

Parallelization strategies for density matrix renormalization group algorithms on shared-memory systems. / HAGER, G; JECKELMANN, E; FEHSKE, H et al.
in: Journal of computational physics, 2004.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Download
@article{12e78fd9c4254482aefdb24aec0672ab,
title = "Parallelization strategies for density matrix renormalization group algorithms on shared-memory systems",
author = "G HAGER and E JECKELMANN and H FEHSKE and G WELLEIN",
note = "Funding information: We thank the RRZE, the RZG (Computing Center Garching), the URZ (Universit{\"a}tsrechenzentrum Dresden) and the HLRS (High Performance Computing Center Stuttgart) for providing computational resources. The RRZN (Regionales Rechenzentrum Niedersachsen) and the ZIB (Zuse-Institut Berlin) have granted resources on their HLRN supercomputer complex. This work was partially supported by the Bavarian Competence Network for High Performance Computing (KONWIHR).",
year = "2004",
doi = "10.1016/j.jcp.2003.09.018",
language = "English",
journal = "Journal of computational physics",
issn = "0021-9991",
publisher = "Academic Press Inc.",

}

Download

TY - JOUR

T1 - Parallelization strategies for density matrix renormalization group algorithms on shared-memory systems

AU - HAGER, G

AU - JECKELMANN, E

AU - FEHSKE, H

AU - WELLEIN, G

N1 - Funding information: We thank the RRZE, the RZG (Computing Center Garching), the URZ (Universitätsrechenzentrum Dresden) and the HLRS (High Performance Computing Center Stuttgart) for providing computational resources. The RRZN (Regionales Rechenzentrum Niedersachsen) and the ZIB (Zuse-Institut Berlin) have granted resources on their HLRN supercomputer complex. This work was partially supported by the Bavarian Competence Network for High Performance Computing (KONWIHR).

PY - 2004

Y1 - 2004

U2 - 10.1016/j.jcp.2003.09.018

DO - 10.1016/j.jcp.2003.09.018

M3 - Article

JO - Journal of computational physics

JF - Journal of computational physics

SN - 0021-9991

ER -

Von denselben Autoren