https://github.com/nourmorsy/convolution-neural-network-cuda

Code for optimization to CNN using CUDA
https://github.com/nourmorsy/convolution-neural-network-cuda

c cnn cuda

Last synced: about 1 month ago
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Code for optimization to CNN using CUDA

• Host: GitHub
• URL: https://github.com/nourmorsy/convolution-neural-network-cuda
• Owner: nourmorsy
• Created: 2023-12-15T00:59:11.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-11-01T21:47:42.000Z (3 months ago)
• Last Synced: 2024-11-14T00:36:15.269Z (3 months ago)
• Topics: c, cnn, cuda
• Language: C
• Homepage:
• Size: 6.84 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# CNN with Cuda

## Project Title

### Overview and Goal

This project focuses on [brief description of the project's objective, e.g., developing efficient computational layers for a specific application]. The main goal is to provide high-performance computation by leveraging both CPU and GPU resources.

---

### Dependencies

To run this project, ensure you have the following installed:

- GCC or Clang compiler for C/C++ files

- CUDA toolkit for GPU support

---

### Usage and File Description

#### Files

- **`layers.c`**: Contains core functionalities, primarily for CPU-based computation.

- **`layers_cu.cu`**: Contains GPU-optimized functions implemented using CUDA for efficient processing.

#### Running the Project

To compile and execute the project:

1. Compile the C file:

   ```bash

   gcc layers.c -o layers

   ```

2. Compile the CUDA file:

   ```bash

   nvcc layers_cu.cu -o layers_gpu

   ```

3. Run the files:

   

   - **CPU version:**

     ```bash

     ./layers

     ```

   - **GPU version:**

     ```bash

     ./layers_gpu

     ```

---     

### Acknowledgments

  Special thanks to the teaching assistant for support and guidance:[Nagy K. Aly](https://github.com/nagyaly)