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Manuscript Title: MontePython: Implementing Quantum Monte Carlo using Python
Authors: Jon Kristian Nilsen
Program title: MontePython
Catalogue identifier: ADZP_v1_0
Distribution format: tar.gz
Journal reference: Comput. Phys. Commun. 177(2007)799
Programming language: C++, Python.
Computer: PC, IBM RS6000/320, HP, ALPHA.
Operating system: LINUX.
Has the code been vectorised or parallelized?: Yes, parallelized with MPI
Number of processors used: 1-96
RAM: Depends on physical system to be simulated
Keywords: Python, C++, Quantum Monte Carlo, Bose-Einstein condensation, MPI.
PACS: 03.75.Hh, 03.75.Lm.
Classification: 7.6, 16.1.

Nature of problem:
Investigating ab initio quantum mechanical systems, specifically Bose-Einstein condensation in dilute gases of 87Rb.

Solution method:
Quantum Monte Carlo

Running time:
225 min. with 20 particles, (with 4800 walkers moved in 1750 time steps) on 1 AMD Opteron(tm) Processor 2218 processor; Production run for, e.g., 200 particles takes around 24 hours on 32 such processors.