It is a course at AGH UST, each set of tasks is in different direcory. Przemek Rola (@kujonick) has wrote flops counter, class Number and this is a good code.
You can just clone this repo and run the notebooks and they will collect data and plot them. For the reason that data collection takes timeee I recommend saving dataframes to cv files just as we did
- matrix multiplication algorithms
- matrix inverse, LU factorisation and det
- Sparse Matrix Compression using Singular Values Decomposition
- Boosting compression using permutation algorithms - Minimal Degree permutation and Cuthill & McKee
- Multiplication of compressed matrixes
MIT, feel free to use our code, but it would be nice if you could leave a star in that case