https://github.com/anas-farooq8/top-kth-shortest-path

Solving the K Shortest Path Problem using a combination of MPI for distributed computing and OpenMP for shared memory parallelization within MPI processes. The goal is to find the Kth shortest path among all nodes of a given graph.
https://github.com/anas-farooq8/top-kth-shortest-path

c k-shortest-paths mpi openmp

Last synced: 2 months ago
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Solving the K Shortest Path Problem using a combination of MPI for distributed computing and OpenMP for shared memory parallelization within MPI processes. The goal is to find the Kth shortest path among all nodes of a given graph.

• Host: GitHub
• URL: https://github.com/anas-farooq8/top-kth-shortest-path
• Owner: anas-farooq8
• Created: 2024-04-26T14:24:00.000Z (9 months ago)
• Default Branch: master
• Last Pushed: 2024-04-28T18:35:16.000Z (9 months ago)
• Last Synced: 2024-07-10T19:58:49.685Z (6 months ago)
• Topics: c, k-shortest-paths, mpi, openmp
• Language: C
• Homepage:
• Size: 2.64 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

# Top K Shortest Path Problem Using MPI and OpenMP

This project implements the Kth Shortest Path Problem using a combination of MPI (Message Passing Interface) for distributed computing and OpenMP for shared memory parallelization. The implementation aims to find the Kth shortest paths among all nodes of a given graph, efficiently utilizing parallel computing resources.

## Prerequisites

Before you begin, ensure you have the following installed on your distibuted systems:

- MPI (e.g., MPICH, Open MPI)

- An OpenMP-compatible compiler (e.g., GCC)

## Installation

Clone the repository to your local machine by clicking [here](https://github.com/anas-farooq8/Top-Kth-Shortest-Path) or run the following commands:

```bash

git clone https://github.com/anas-farooq8/Top-Kth-Shortest-Path

cd Top-Kth-Shortest-Path

```

## Compilation

`mpicc -fopenmp -o parallel parallel.c -lm`

- mpicc: This is the MPI compiler wrapper for C programs.

- -fopenmp: This flag tells the compiler to enable the OpenMP extension.

- -o parallel: This option specifies the output filename of the compiled program.

- -lm: This links the math library, which is required if your program uses mathematical functions provided by this library, such as sin(), cos(), sqrt(), etc.

## Execution

`mpiexec -n 4 -f machinefile ./parallel`

## Report

![Report_page-0001](https://github.com/anas-farooq8/Top-Kth-Shortest-Path/assets/150327092/deef91ad-9c0a-401b-88e3-571676835d3c)

![Report_page-0002](https://github.com/anas-farooq8/Top-Kth-Shortest-Path/assets/150327092/140a71e4-f5b6-43e6-996f-5bc13965e22c)

![Report_page-0003](https://github.com/anas-farooq8/Top-Kth-Shortest-Path/assets/150327092/1db9d57e-c1ab-4ce0-8aea-654e07cbbeae)

![Report_page-0004](https://github.com/anas-farooq8/Top-Kth-Shortest-Path/assets/150327092/546a906d-31f4-4066-bfcb-d793a55964c5)

### Additional Notes:

- Make sure to provide a `machinefile` example or instructions on how to create one if your target users may not be familiar with this setup.

- Adjust the repository URL and any paths or filenames to match your actual project structure.

- It's good practice to also include any special instructions for different environments or additional configurations needed for complex setups.