Performance Analysis of Program Execution in the PyPy Environment

Zahvaljujući svojoj jednostavnosti i prilagodljivosti, programski jezik Python stekao je veliku popularnost tijekom posljednjih godina. Mnoštvo vrlina utjecalo je na širenje njegovog područja primjene, što ga je svrstalo u skupinu najkorištenijih programskih jezika. Međutim, zbog načina izvršavanja programa i dinamičke prirode, Python je sporiji u odnosu na jezike kao što su C, C++, Java i sl. Problem sporijeg izvršavanja potaknuo je razvoj mnogih rješenja, s naglaskom na razvoj novih Python prevoditelja među kojima se istaknuo PyPy. U okviru ovog rada predstavljene su arhitektura i obilježja prevoditelja PyPy. Nadalje, provedena je analiza učinkovitosti izvođenja programa koristeći standardnu Python implementaciju (CPython) i implementaciju PyPy. Na temelju zapažanja oblikovani su zaključci o upotrebi pojedinog prevoditelja ovisno o obilježjima programa.Thanks to its simplicity and adaptability, the Python programming language has gained great popularity in recent years. Many virtues influenced the expansion of its field of application, which made it one of the most used programming languages. However, due to program execution and dynamic nature, Python is slower compared to languages such as C, C ++, Java, etc. The problem of slower execution has prompted the development of many solutions, with emphasis on the development of new Python interpreters, including PyPy. In this thesis, the architecture and features of the PyPy interpreter are presented. Furthermore, performance analysis of program execution was performed using the standard Python implementation (CPython) and the PyPy implementation. Based on the observations, conclusions were drawn about the use of each interpreter depending on the characteristics of the program