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Fast quantum Monte Carlo on a GPU

We present a scheme for the parallelization of quantum Monte Carlo on graphical processing units, focusing on bosonic systems and variational Monte Carlo. We use asynchronous execution schemes with shared memory persistence, and obtain an excellent acceleration. Comparing with single core execution,... Full description

Contributors: Lutsyshyn, Y
Contained in: Computer physics communications : an international journal devoted to computational physics and computer programs in physics Amsterdam : North Holland Publ. Co Vol. 187 (2015), p. 162-174
Journal Title: Computer physics communications
Fulltext access: Fulltext access (direct link - free access) 10.1016/j.cpc.2014.09.016
Interlibrary loan: Check possibility for interlibrary loan
Links: Volltext (dx.doi.org)
Additional Link (arxiv.org)
ISSN: 0010-4655
DOI: 10.1016/j.cpc.2014.09.016
Regional Holdings: TIB – German National Library of Science and Technology
Language: English
ID (e.g. DOI, URN): 10.1016/j.cpc.2014.09.016
PPN (Catalogue-ID): 1965895506
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