Affiliation:
1. LABORATORY OF ATOMIC AND SOLID STATE PHYSICS AND, CENTER FOR THEORY AND SIMULATION IN SCIENCE AND ENGINEERING
CORNELL UNIVERSITY ITHACA, NEW YORK 14853
Abstract
We describe how a recently published algorithm, which addresses the sign problem within the context of the Green's function Monte Carlo method, can be implemented in a parallel distributed environment. The method of parallelization maintains large granularity and therefore low overhead. Despite the stochastic na ture of the algorithm, good load-balancing can be ac complished and reproducibility is ensured.
Cited by
9 articles.
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