Population annealing is a promising recent approach for Monte Carlo simulations in
statistical physics, in particular for the simulation of systems with complex free-energy …

We examine the requirements and the available methods and software to provide (or
imitate) uniform random numbers in parallel computing environments. In this context, for the …

Gibbs sampling is a widely used Markov chain Monte Carlo (MCMC) method for numerically
approximating integrals of interest in Bayesian statistics and other mathematical sciences …

The library PRAND for pseudorandom number generation for modern CPUs and GPUs is
presented. It contains both single-threaded and multi-threaded realizations of a number of …

Monte Carlo methods rely on sequences of random numbers to obtain solutions to many
problems in science and engineering. In this work, we evaluate the performance of different …

This paper examines the performance of two popular GPU programming platforms, Numba
and CuPy, for Monte Carlo radiation transport calculations. We conducted tests involving …

The objective of this research is to establish consistency thresholds linked to alpha (α) levels
for HDM's (Hierarchical Decision Model) judgment quantification method. Measuring …

Abstract The GPU (Graphics Processing Unit) has recently become one of the most power
efficient processors in embedded and many other environments, and has been integrated …

Monte Carlo simulations of the Ising model play an important role in the field of
computational statistical physics, and they have revealed many properties of the model over …

Abstract Generalized-ensemble Monte Carlo simulations such as the multicanonical method
and similar techniques are among the most efficient approaches for simulations of systems …