Concurrent Computing Repository

Welcome to the Concurrent Computing Repository! This repository is dedicated to exploring various concepts and implementations of concurrent computing. Whether you're a student, researcher, or enthusiast, this repository aims to provide valuable resources, projects, and insights into concurrent programming paradigms.

Projects

1. Workers Project

   • Description: In this project, we simulate a group of workers who have specific work hours and lunch breaks. All tasks assigned to these workers are handled using multithreading to achieve concurrent execution.
   • Technologies: Python, Multithreading

2. Tour de France Simulation

   • Description: This project simulates the famous cycling event, Tour de France, where multiple cyclists compete in stages. The simulation is designed to run concurrently, with each cyclist being handled by a separate process.
   • Technologies: Python, Multiprocessing

3. Football Game Simulation

   • Description: This project simulates a football game where each player is represented by a separate process. The game starts with a random player possessing the ball, and the ball is passed randomly among players until it reaches the goalkeeper, ending the match.
   • Technologies: Python, MPI

4. Exam Time Analysis

   • Description: This project simulates an exam scenario where each student receives and returns the exam paper with varying delays. Using multiprocessing, it calculates the total time each student had for answering the exam and computes the average time per student.
   • Technologies: Python, Multiprocessing

Usage

1. Workers Project

   • Ensure you have Python installed on your system.
   • Navigate to the directory containing workers.py.
   • Run python workers.py to execute the project.
   • Follow on-screen instructions to observe the workers' behavior during work hours and lunch breaks.

2. Tour de France Simulation

   • Python 3.x is required for running this project.
   • Navigate to the directory containing tour.py.
   • Execute python tour.py to start the simulation.
   • View the console output to track the progress of the race and each cyclist's performance.

3. Football Game Simulation

   • Python 3.x and mpi4py library are required for running this project.
   • Navigate to the directory containing football_game.py.
   • Run the game using MPI, e.g., mpiexec -n 11 python football_game.py for 11 players.
   • Observe the game progress in the console output.

4. Exam Time Analysis

   • Python 3.x is required for running this project.
   • Navigate to the directory containing exam_time_analysis.py.
   • Execute python exam_time_analysis.py to simulate the exam scenario and analyze the time each student had for answering.
   • View the console output to see the total time each student had and the average time per student.

Project Images

1. Workers Project

   

2. Tour de France Simulation

   

Contribution Guidelines

We welcome contributions from the community to enhance and expand this repository. If you have any suggestions, bug fixes, or new project ideas related to concurrent computing, feel free to submit a pull request. Please ensure that your contributions align with the repository's goals and follow best coding practices.

License

This repository is licensed under the MIT License. See the LICENSE file for more details.

Contact

If you have any questions, feedback, or concerns, please don't hesitate to reach out to the repository maintainer or open an issue on GitHub. Your input is highly valued and appreciated!

Thank you for visiting the Concurrent Computing Repository. Happy coding! 🚀