CNN-Acceleration

(★ 55)

Implementing CNN code in CUDA and OpenCL to evaluate its performance on NVIDIA GPUs, AMD GPUs, and an FPGA platform.

File Explorer

Download Latest Version (.zip)

- - analysis.nvprof
  - profile.sh
  - Sequential CNN.docx
  - timeline.nvprof
- - config.cmake
  - main.cu
  - range.hpp
  - utils.hpp
- CMakeLists.txt
- model.hdf5
- test10.hdf5
- test100.hdf5
- test2.hdf5
- testfull.hdf5
- - readme.css
- - Makefile
  - README
- - cnn.cl
  - cnn.h
  - config.cmake
  - main.cpp
  - range.hpp
  - utils.hpp
- CMakeLists.txt
.gitignore
LICENSE
README.md

# Installation Guide

1. Get the code

git clone https://github.com/atrifex/CNN-Acceleration

Downloads the entire project code from GitHub to your computer.

cd CNN-Acceleration

Moves into the project folder you just downloaded.

2. CMake

Medium Recommended

Prerequisites

Git Needed to download the project code from GitHub.
CMake The tool used to generate build configuration.
C/C++ 컴파일러 Windows needs Visual Studio (Community edition, free), macOS needs Xcode Command Line Tools, Linux needs the gcc/g++ package.

This will download the required software needed for the project (see the [hunter docs][hunterdoc] for more information). You may see some warning while the system is compiling _HDF5_, which you can ignore. Once CMake has been run, a `Makefile` is generated so you can then perform `make` to build the project.

Type this command into your terminal and run it.

If you do not plan on using `make`, examine the `cmake -G` option which allows you to generate XCode, Visual Studio, ... project configurations. You may also need to change the build type to enable/disable debugging and/or optimizations.

Type this command into your terminal and run it.

If you need to use another library, you need have to modify the [`CMakeLists.txt`] and add the libraries to the `target_link_libraries` (and possibly the `include_directories`) section. Documentation on the CMake commands is found in the [documentation page][cmakedoc].

Type this command into your terminal and run it.

✅ Check that an executable was created inside the build folder, then run it directly (e.g. ./build/app_name).

Pulled directly from this repo's README.

3. Make

Medium

Prerequisites

Git Needed to download the project code from GitHub.
Make Usually pre-installed on Linux/macOS. On Windows, install separately (e.g. via MSYS2 or WSL).

⚠️ This is a large repository, so this method may point to an internal sub-package rather than the actual core product. Check the full README as well.

cd fpgaOpenCL_implementation/implementation

This project's files live in a subfolder, so move into it first.

make

Compiles the code based on the generated build configuration to produce an executable.

✅ If it finishes without errors, it worked. Try running the generated executable directly.