کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10349591 863684 2013 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Scaling properties of a parallel implementation of the multicanonical algorithm
ترجمه فارسی عنوان
خواص پوسته شدن یک اجرای موازی الگوریتم چند کانونی
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی تئوریک و عملی
چکیده انگلیسی
The multicanonical method has been proven powerful for statistical investigations of lattice and off-lattice systems throughout the last two decades. We discuss an intuitive but very efficient parallel implementation of this algorithm and analyze its scaling properties for discrete energy systems, namely the Ising model and the 8-state Potts model. The parallelization relies on independent equilibrium simulations in each iteration with identical weights, merging their statistics in order to obtain estimates for the successive weights. With good care, this allows faster investigations of large systems, because it distributes the time-consuming weight-iteration procedure and allows parallel production runs. We show that the parallel implementation scales very well for the simple Ising model, while the performance of the 8-state Potts model, which exhibits a first-order phase transition, is limited due to emerging barriers and the resulting large integrated autocorrelation times. The quality of estimates in parallel production runs remains of the same order at the same statistical cost.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Physics Communications - Volume 184, Issue 4, April 2013, Pages 1155-1160
نویسندگان
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