GEMM_optimization_in_CPP

1. Python: Initialize the matrices with a constant seed (4x4, 8x8, 16x16, and so on) and alpha beta constants just like gemm
2. Python: Start the timer and pass these values and matrices to C++ code
3. C++: Do the multiplication just like with and without optimiation (finally if it possible add openmp)
4. Python: Stop the timer and store the time value

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How to Run the Project

Step 1: Create a Virtual Environment

Create a virtual environment using this command:

python3 -m venv env

Step 2: Activate the Virtual Environment

Activate the environment:

On Unix:

source env/bin/activate

Step 3: Install the Python dependencies

Run the following command to install the python dependencies for the project:

pip install -r requirements.txt

Step 4: Build the Project

Run the following command to build the project in place:

python3 setup.py build_ext --inplace

Step 5: Run the Main Script

If everything is set up correctly, you can run the main script with the default values by executing:

python3 main.py

To customize the parameters, you can use the following command:

python3 main.py --matrix_size=4 --optimization_num=0 --alpha=1.5 --beta=1.2 --random_seed=42

Troubleshooting If you encounter any errors, you might need to install additional dependencies. Use the following commands:

sudo apt-get install libboost-python-dev
sudo apt-get install python3-all-dev

Checking Boost Python Version

In setup.py, the boost_python310 module is specified. To check the Boost version on your computer and ensure compatibility, use this command:

find /usr/lib /usr/local/lib -name "libboost_python*.so"

If the Boost version does not match, install the required version.