PARALLELIZATION OF THE WORLDLINE QUANTUM MONTE CARLO METHOD

J.E. Gubernatis and W.R. Somsky
Additional contact information
J.E. Gubernatis: Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87545, U.S.A
W.R. Somsky: Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, NM 87545, U.S.A

International Journal of Modern Physics C (IJMPC), 1992, vol. 03, issue 01, 61-78

Abstract: The worldline quantum Monte Carlo method is a computational technique for studying the properties of many-electron and quantum-spin systems. In this paper, we describe our efforts in developing an efficient implementation of this method for the massively-parallel Connection Machine CM-2. We discuss why one must look beyond the obvious parallelism in the method in order to reduce interprocessor communication and increase processor utilization, and how these goals may be achieved using a plaquette-based data representation. We also present performance statistics for our implementation and sample calculations for the spinless fermion model.

Keywords: Quantum Monte Carlo; Worldline Method; Massively Parallel Computing (search for similar items in EconPapers)
Date: 1992
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0129183192000063
Access to full text is restricted to subscribers

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:wsi:ijmpcx:v:03:y:1992:i:01:n:s0129183192000063

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0129183192000063

Access Statistics for this article

International Journal of Modern Physics C (IJMPC) is currently edited by H. J. Herrmann

More articles in International Journal of Modern Physics C (IJMPC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().