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  Massively parallel multicanonical simulations

Gross, J., Zierenberg, J., Weigel, M., & Janke, W. (2018). Massively parallel multicanonical simulations. Computer Physics Communications, 224, 387-395. doi:10.1016/j.cpc.2017.10.018.

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Gross, J., Autor
Zierenberg, Johannes1, Autor           
Weigel, M., Autor
Janke, W., Autor
Affiliations:
1Department of Nonlinear Dynamics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063286              

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Schlagwörter: GPU; Parallel computing; Monte Carlo simulations; Multicanonical; Ising model
 Zusammenfassung: Generalized-ensemble Monte Carlo simulations such as the multicanonical method and similar techniques are among the most efficient approaches for simulations of systems undergoing discontinuous phase transitions or with rugged free-energy landscapes. As Markov chain methods, they are inherently serial computationally. It was demonstrated recently, however, that a combination of independent simulations that communicate weight updates at variable intervals allows for the efficient utilization of parallel computational resources for multicanonical simulations. Implementing this approach for the many-thread architecture provided by current generations of graphics processing units (GPUs), we show how it can be efficiently employed with of the order of 104 parallel walkers and beyond, thus constituting a versatile tool for Monte Carlo simulations in the era of massively parallel computing. We provide the fully documented source code for the approach applied to the paradigmatic example of the two-dimensional Ising model as starting point and reference for practitioners in the field.

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Sprache(n): eng - English
 Datum: 2017-11-132018-03
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1016/j.cpc.2017.10.018
 Art des Abschluß: -

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Titel: Computer Physics Communications
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 224 Artikelnummer: - Start- / Endseite: 387 - 395 Identifikator: -