8000 GitHub - slymachenko/gpgpu-comparison: Program to analyze the dependence of execution time on different CPU/GPU/Memory clock frequencies by solving a mathematical equation with 5 variables using parallelization techniques with WinAPI (CPU), OpenCL (CPU/GPU), and CUDA (GPU)
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Program to analyze the dependence of execution time on different CPU/GPU/Memory clock frequencies by solving a mathematical equation with 5 variables using parallelization techniques with WinAPI (CPU), OpenCL (CPU/GPU), and CUDA (GPU)

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gpgpu-comparison

Program to analyze the dependence of execution time on different CPU/GPU/Memory clock frequencies by solving a mathematical equation with 5 variables using parallelization techniques with WinAPI (CPU), OpenCL (CPU/GPU), and CUDA (GPU).

Getting Started

  1. Install required software:
    You will need the CUDA Toolkit (used V12.6.85) and Visual Studio (used V17.6.4)

  2. Clone the Repository:

    git clone https://github.com/slymachenko/gpgpu-comparison.git
    cd gpgpu-comparison
  3. Set up PATH variables:
    Ensure that the PATH variables for the CUDA Toolkit are correctly set.

  4. Open project in Visual Studio

  5. Compile and run

License

This project is licensed under the MIT License. See the LICENSE file for more details.

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Program to analyze the dependence of execution time on different CPU/GPU/Memory clock frequencies by solving a mathematical equation with 5 variables using parallelization techniques with WinAPI (CPU), OpenCL (CPU/GPU), and CUDA (GPU)

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