gpu-testing

There are 5 repositories under gpu-testing topic.

  • rubenandrebarreiro/gpu-cuda-self-organising-maps

    🧠 💡 📈 A project based in High Performance Computing. This project was built using CUDA (Compute Unified Device Architecture), C++ (C Plus Plus), C, CMake and JetBrains CLion. The scenario of the project was a GPU-based implementation of the Self-Organising-Maps (S.O.M.) algorithm for Artificial Neural Networks (A.N.N.), with the support of CUDA (Compute Unified Device Architecture), using its offered parallel optimisations and tunings. The final goal of the project was to test the several GPU-based implementations of the algorithm against a given CPU-based implementation of the same algorithm and, evaluate and compare the overall performance (speedup, efficiency and cost).

    Language:C++10403

  • canonical/rocm-validation-suite-snap

    Unofficial snap for ROCm Validation Suite

    160

  • MitchellShibilski-Unkel/PyPC

    Uses Python to test your PC's performance, and is able to obtain your computer's specs.

    Language:Python1100

  • nitsc/nitsc.github.io

    personal website，Graphics Card Testing

    Language:HTML1100

  • SakhriHoussem/How-to-install-tensorflow

    How to install Tensorflow-GPU 1.6 on Windows :computer:

    Language:Python1111