Parallel-Sudoku-Solver

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Parallel-Sudoku-Solver

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🔢 A parallelized Sudoku solver implemented with various solving algorithms in C++

Parallel-Sudoku-Solver 최신버젼 다운로드

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Parallelization of a Sudoku Solver
==================================

> A parallelized Sudoku solver implemented with various solving algorithms in C++.

### Introduction
Sudoku is one of the most popular puzzle games of all time.
The objective of Sudoku is to fill a _n_-by-_n_ grid with digits from 1 to _n_ such that each column, row, and box (or called "subgrid", "region", "block") contain every number in the set {1, ... , _n_} exactly once.

---

### Motivation
This project aims to implement a Sudoku solver that could solve **large** (e.g., 16-by-16, 25-by-25) Sudoku puzzles as efficiently as possible by means of various parallelization techniques and solving algorithms.
The details of implementation and performance results are explained in depth in the [project report](./Project_Report.pdf).

---

### How to use the code?
* #### Compile
    1. Navigate to the project root directory where the `Makefile` is located.
    2. Build the program by running the command:
        ```bash
        $ make
        ```
    3. An executable named `sudoku_main` will appear in the project root directory.

* #### Run
 To run the solver, supply the executable with command-line arguments for test cases, modes, number of threads and flag for writing solution to a text file.
 ```bash
 $ ./sudoku_main <PATH_TO_INPUT_FILE> <MODE> <NUM_THREADS> [<WRITE_TO_SOLUTION_TXT>]
 ```
 ✏️ Note:
 - `<PATH_TO_INPUT_FILE>` (string): the path to the test case file (e.g., `Test_Cases/9x9_easy.txt`)
 - `<MODE>` (int): the mode to run the Sudoku solver
 + 0: sequential mode with backtracking algorithm
 + 1: sequential mode with brute-force algorithm
 + 2: parallel mode with brute-force algorithm
 + 3: sequential mode with DLX algorithm
 + 4: parallel mode with DLX algorithm
 - `<NUM_THREADS>` (int): if you set 2 or 4 for `<MODE>`, you need to also set `<NUM_THREADS>` (default = 2)
 - `<WRITE_TO_SOLUTION_TXT>` (int):
 + 0 (default): only print solution to the console 
 + 1: also write solution to a text file called `solution.txt` under the project root directory

---

### Demonstration
There are many different mode options available for this software. Two of them are shown as follows for demonstration purpose:

- #### Sequential mode for brute-force algorithm
 <img width="550" src="https://user-images.githubusercontent.com/43208378/130022178-134a3fd0-ce45-4f8c-b47a-276b759686e2.png">

- #### Parallel mode for brute-force algorithm
 <img width="550" src="https://user-images.githubusercontent.com/43208378/130022182-b1feaf52-36dc-4ae7-81fe-2466ea752575.png">

---

### Test cases
A collection of test grids of various sizes and difficulty levels are present in the [`Test_Cases`](./Test_Cases) directory.

---

### Support the project
Whether you use this project, have learned something from it, or just like it, please consider supporting it by buying me a coffee or making one-time donations via PayPal, so I can dedicate more time on open-source projects like this. 💪🙃

Thanks!:heart: and Cheers!:beers:

---

### Contact
If you have any question or suggestion, feel free to contact me at huaming.huang.tw@gmail.com. Contributions are also welcomed. Please open a [pull-request](https://github.com/huaminghuangtw/Parallel-Sudoku-Solver/compare) or an [issue](https://github.com/hmhuang0501/Parallel-Sudoku-Solver/issues/new) in this repository.

---

### License

This project is licensed under the terms of [![MIT](https://img.shields.io/github/license/huaminghuangtw/Parallel-Sudoku-Solver.svg?style=flat-square&color=black)](https://raw.githubusercontent.com/huaminghuangtw/Parallel-Sudoku-Solver/master/LICENSE).

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