idos88 / parallelproject2

Efficiently search objects in images with Distributed Object Search using MPI and OMP. This project utilizes parallel processing techniques for optimizing object analysis. Developed as part of a distributed computing course.

ParallelProject2

Distributed Object Search using MPI and OMP

Table of Contents

• Introduction
• Project Overview
• Usage
• Technologies Used
• Installation
• Contributing
• License
• Acknowledgements

Introduction

The "Distributed Object Search using MPI and OMP" project is an innovative solution designed to address the challenges associated with processing a large volume of images and conducting object searches in a parallel computing environment. This project showcases the integration of multiple parallel processing techniques, including Message Passing Interface (MPI) and Open Multi-Processing (OMP), to efficiently analyze images and perform object searches.

Project Overview

The project revolves around orchestrating a multi-process architecture comprising a dynamic master process and several slave processes. Each process collaborates to optimize computational efficiency by distributing and processing image data concurrently. The primary objectives of this project include:

• Efficiently allocating initial work segments (images) from the master process to each slave process.
• Dynamically assigning new work to slave processes upon task completion.
• Aggregating results from each slave process to generate a comprehensive output file.

Usage

To use this project:

1. Clone the repository to your local machine.
2. Compile and execute the program using the appropriate compiler with the makefile and runtime environment.
3. Modify the input2.txt file to provide the necessary input data.
4. Execute the program to perform distributed object searches and generate output results.

For detailed installation and usage instructions, please refer to the Installation section.

Technologies Used

This project leverages the following technologies:

• MPI (Message Passing Interface): Facilitates inter-process communication and data distribution among processes.
• OMP (Open Multi-Processing): Utilizes parallel threads within each process to conduct efficient object searches.

Installation

Follow these steps to set up and run the project:

1. Clone the repository: git clone https://github.com/your-username/your-repo-name.git
2. Navigate to the project directory: cd your-repo-name
3. Compile the source code using your preferred compiler.
4. Modify the input2.txt file to provide input data.
5. Run the compiled program to initiate the distributed object search.

Contributing

Contributions to this project are welcome! If you'd like to contribute, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature: git checkout -b feature-name
3. Make your changes and commit them: git commit -m "Add your message here"
4. Push the changes to your fork: git push origin feature-name
5. Submit a pull request to the main repository.

License

This project is licensed under the MIT License.

Acknowledgements

We extend our gratitude to the academic community and the collaborative efforts that contributed to the development of this project.