PetNetSim Library Computation Performace Optimization

The aim of the thesis was to optimize the computation speed of the PetNetSim library, which is currently implemented in Python. The purpose of the thesis was to approach the optimization from a broader perspective and try to speed up Python using various techniques. The thesis explores the solutions available in the form of alternative interpreters, extending modules, trans-compilation methods and the possibility of developing the computational core as a module written in the system language. The practical part describes efforts to implement these methods and their comparison. Furthermore, the multiprocessing method is implemented and the procedure for developing the computational core as an extending module is outlined