Parallel Implementation of the Ising Model in C++ using OpenMP and Intel MKL Library

Parallel implementation of the Ising Model using C++ with the support of the Intel MKL library for efficient random number generation and OpenMP for parallelization. The Ising Model is a mathematical model of ferromagnetism in statistical mechanics, and this implementation aims to leverage modern computing resources to perform large-scale simulations efficiently.

• Random Number Generation: Utilizes the Intel MKL library for random number generation.
• Parallel Processing: Employs OpenMP to parallelize random number generation and lattice updates.

Prerequisites

• C++ Compiler: A compliant C++ compiler (e.g., g++, clang++).
• Intel MKL Library: Intel Math Kernel Library for random number generation.
• OpenMP: OpenMP support for parallel processing.