The Parallel Monte Carlo Algorithm Implementation on GPU for the Systems with an Ising Hamiltonian under the Condition of a Constant Charge Density

TL;DR

This paper presents a GPU-based parallel Monte Carlo algorithm for simulating Ising systems with a fixed charge density, emphasizing implementation details and computational efficiency.

Contribution

It introduces a novel parallel algorithm tailored for GPU execution to model Ising systems under constant charge density constraints.

Findings

Efficient GPU implementation of the Monte Carlo algorithm.

Successful modeling of Ising systems with charge density restrictions.

Technical insights into parallel algorithm development for complex systems.

Abstract

This paper is devoted to computational algorithms designed to describe the classical Ising magnet in some specific cases when an additional macroscopic restriction in form of constant charge density exists in the system. We developed and implemented a parallel algorithm for modeling such a systems on GPU with CUDA technology. This work focuses on technical aspects of implementing the algorithm.