Abstract
We discuss the parallelization and object-oriented implementation of Monte Carlo simulations for physical problems. We present a C++ Monte Carlo class library for the automatic parallelization of Monte Carlo simulations. Besides discussing the advantages of object-oriented design in the development of this library, we show examples how C++ template techniques have allowed very generic but still optimal algorithms to be implemented for wide classes of problems. These parallel and object-oriented codes have allowed us to perform the largest quantum Monte Carlo simulations ever done in condensed matter physics.
Cite
CITATION STYLE
Troyer, M., Ammon, B., & Heeb, E. (1998). Parallel object oriented monte carlo simulations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1505, pp. 191–198). Springer Verlag. https://doi.org/10.1007/3-540-49372-7_20
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