Parallelization strategies for Monte Carlo simulations of thin film deposition - Shu, Lu, et al. - 2001J.W. Shu, Q. Lu, W.O. Wong, and H. Huang, “Parallelization strategies for Monte Carlo simulations of thin
Monte Carlo methodMulti-spin codingMPIIn this paper, we present a parallel algorithm for Monte Carlo simulation of the 2D Ising Model to perform efficiently on a cluster computer using MPI. We use C++ programming language to implement the algorithm. In our algorithm, every process creates a sub...
Vegas (:vegas):The classic Vegas algorithm uses the Monte Carlo method and samples all integrands across all variables simultaneously at each step. It is efficient for low-dimensional integrals but might struggle with high-dimensional ones where the Vegas map fails to accurately mimic the integrand...
like computing high-dimensional multivariate integrals or solving huge systems of linear equations. While the main advantages of Monte Carlo methods over other techniques is ease of implementation and parallelization, it does have some drawbacks. One of the main drawbacks of Monte Carlo ...
parallelization, it does have some drawbacks. One of the main drawbacks of Monte Carlo simulations is their slower rate of convergence compared to some other specialized techniques, like so-calledquasi-Monte Carlo methods. When you have a large number of variables bounded to distinct constraints, ...
The main limitation of this method is the usual one in any Monte Carlo-based method, namely, being potentially time consuming due to a number of necessary iterations. However, as each voxel in the image is subject to an independent calculation, parallelization of the algorithm will scale well....
Therefore the algorithm of simulation must be carefully optimized. The optimization of PIC code includes two aspects: first, the algorithms used in simulation should run very fast when applied serially. Second, the algorithms should have good parallel efficiencies when run paralleled. However, the ...
Possibly, these swaps can speed up the convergence of the algorithm substantially. Craiu et al. proposed an ensemble of MCMC chains using the covari- ance of samples across all chains to adopt the proposed covariance for a set of Metropolis-Hastings chains [33]. Somewhat different from these ...
Simulation of radicals' diffusion and reactions in the chemical stage was achieved using a step-by-step model using GPU-accelerated parallelization together with a GPU-enabled box-sorting algorithm to reduce the computations of searching for interaction pairs and therefore improve efficiency. A multi-...
Our goal is to build a community code and create a platform to facilitate algorithm advancements and knowledge exchanges. We welcome comments, suggestions and contributions from the scientific community.About Open-source/Oak-Ridge Wang-Landau (OWL): A suite for first-principles based Monte Carlo ...