Distributed Memory Parallelization of the Multi-Configuration Time-Dependent Hartree Method
Michael Brill,
Oriol Vendrell and
Hans-Dieter Meyer ()
Additional contact information
Michael Brill: Universität Heidelberg, Theoretische Chemie, Physikalisch-Chemisches Institut
A chapter in High Performance Computing in Science and Engineering '09, 2010, pp 147-163 from Springer
Abstract:
Abstract The multiconfiguration time-dependent Hartree (MCTDH) method is an algorithm to efficiently propagate wavepackets. Since its development it has been established as one of the most important methods to study the quantum dynamics, e.g. excitations of vibrations and rotations or scattering events, of molecular systems. The method has been developed in Heidelberg over the last 18 years and is able to treat large systems with ≳9 degrees of freedom in its single processor application. As described in a previous work [1] the code has been parallelized for shared memory hardware and was successfully applied to the investigation of the Zundel cation [2,3] (15 internal degrees of freedom) using up to 8 processors with speedup factors of >7. However, the Heidelberg MCTDH-code was still lacking the ability to use the more powerful distributed memory hardware of computer clusters. This drawback has been removed recently by applying the Message Passing Interface (MPI) to MCTDH, as described in this report.
Keywords: Shared Memory; Message Passing Interface; Parallel Part; Kinetic Energy Operator; Master Process (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-04665-0_11
Ordering information: This item can be ordered from
http://www.springer.com/9783642046650
DOI: 10.1007/978-3-642-04665-0_11
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().