This project implements the Monte Carlo method for approximating the value of $\pi$, both in a sequential and parallelized version using OpenMP. The parallel implementation takes advantage of multiple CPU threads to improve performance and reduce computation time.

For GUI based building, use the Code::Blocks project file.

In the main file (Main.cpp), the flow of execution is conditioned by the SECUENCIAL and PARALELO macros, which determine which code section will run. The purpose of this approach is to enable direct comparison between the sequential and parallel versions of the $\pi$ calculation. Below is a breakdown of each section:

1. Sequential Version (SECUENCIAL):

   • If the SECUENCIAL macro is defined, the code runs the $\pi$ calculation using a single processing thread.
   • The execution time is measured using the C++ chrono library to determine how long the calculation takes.
   • The estimated value of $\pi$ and the execution time are printed to the console.

2. Parallel Version (PARALELO):

   • If the PARALELO macro is defined, the $\pi$ calculation is distributed across multiple threads using the #pragma omp parallel directive.
   • Just like in the sequential version, the execution time is measured.
   • The estimated value of $\pi$ and the execution time are printed to the console.

This project was written as part of the Masters in Computer Science course "Parallel Computing" at the University of the Bío-Bío.

Some of the TeX/PDF files are in Spanish, as the course was taught in Spanish.