Physics – Condensed Matter – Strongly Correlated Electrons
Scientific paper
2003-05-20
Journal of Computational Physics, 194 (2004) 795-808
Physics
Condensed Matter
Strongly Correlated Electrons
18 pages, 9 figures
Scientific paper
10.1016/j.jcp.2003.09.018
Shared-memory parallelization (SMP) strategies for density matrix renormalization group (DMRG) algorithms enable the treatment of complex systems in solid state physics. We present two different approaches by which parallelization of the standard DMRG algorithm can be accomplished in an efficient way. The methods are illustrated with DMRG calculations of the two-dimensional Hubbard model and the one-dimensional Holstein-Hubbard model on contemporary SMP architectures. The parallelized code shows good scalability up to at least eight processors and allows us to solve problems which exceed the capability of sequential DMRG calculations.
Fehske Holger
Hager Georg
Jeckelmann Eric
Wellein Gerhard
No associations
LandOfFree
Parallelization Strategies for Density Matrix Renormalization Group Algorithms on Shared-Memory Systems does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Parallelization Strategies for Density Matrix Renormalization Group Algorithms on Shared-Memory Systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Parallelization Strategies for Density Matrix Renormalization Group Algorithms on Shared-Memory Systems will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-547793