CUDA PARALLEL C PROGRAMMING

This repository contains various CUDA C programs demonstrating parallel computing techniques using NVIDIA's CUDA platform.

Programs Overview

• Addition of Two Numbers
• Even or Odd
• Matrix Multiplication
• Using Threads

Addition of Two Numbers

This program demonstrates basic addition of two numbers using CUDA kernels.

Files

• kernel.cu: CUDA source file for addition of two numbers.

Usage

1. Compile the program:

   nvcc kernel.cu -o addition_cuda

2. Run the program:

   ./addition_cuda

3. Input:

   Follow the on-screen instructions to input two integers.

4. Output:

   The program will compute the sum using CUDA and display the result.

Even or Odd

This program determines if a number is even or odd using CUDA.

Files

• kernel.cu: CUDA source file for even or odd determination.

Usage

1. Compile the program:

   nvcc kernel.cu -o even_odd_cuda

2. Run the program:

   ./even_odd_cuda

3. Input:

   Enter a number when prompted.

4. Output:

   The program will use CUDA to check if the number is even or odd and display the result.

Matrix Multiplication

This program performs matrix multiplication using CUDA for parallel computation.

Files

• kernel.cu: CUDA source file for matrix multiplication.

Usage

1. Compile the program:

   nvcc kernel.cu -o matrix_mult_cuda

2. Run the program:

   ./matrix_mult_cuda

3. Input:

   Adjust the matrix dimensions and values directly in the kernel.cu file as needed.

4. Output:

   The program will use CUDA to perform matrix multiplication and display the resulting matrix.

Using Threads

This program demonstrates CUDA programming with multiple threads.

Files

• kernel.cu: CUDA source file demonstrating thread usage.

Usage

1. Compile the program:

   nvcc kernel.cu -o threads_cuda

2. Run the program:

   ./threads_cuda

3. Input/Output:

   Follow the specific instructions provided within the kernel.cu file for thread management and usage.

Contributing

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

1. Fork the repository
2. Create a new branch (git checkout -b feature)
3. Make your changes
4. Commit your changes (git commit -am 'Add feature')
5. Push to the branch (git push origin feature)
6. Create a new Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.