@inproceedings{94e51269a0124d94a4327b54c81c9310,
title = "Population Annealing and Large Scale Simulations in Statistical Mechanics",
abstract = "Population annealing is a novel Monte Carlo algorithm designed for simulations of systems of statistical mechanics with rugged free-energy landscapes. We discuss a realization of the algorithm for the use on a hybrid computing architecture combining CPUs and GPGPUs. The particular advantage of this approach is that it is fully scalable up to many thousands of threads. We report on applications of the developed realization to several interesting problems, in particular the Ising and Potts models, and review applications of population annealing to further systems.",
keywords = "Parallel algorithms, Scalability, Statistical mechanics, Population annealing, Markov Chain Monte Carlo, Sequential Monte Carlo, Hybrid computing architecture CPU+GPGPU",
author = "Shchur, {Lev N.} and Barash, {Lev Yu} and Martin Weigel and Wolfhard Janke",
year = "2018",
month = nov,
day = "24",
doi = "10.1007/978-3-030-05807-4_30",
language = "English",
isbn = "978-3-030-05806-7",
volume = "965",
series = "Communications in Computer and Information Science",
publisher = "Springer",
pages = "354--366",
booktitle = "Supercomputing. RuSCDays 2018.",
address = "United Kingdom",
note = "Russian Supercomputing Days, RuSCDays ; Conference date: 24-09-2018 Through 25-09-2018",
}