Analiza učinkovitosti izvođenja programa u okolini PyPy

master's thesis

• Title (english): Performance Analysis of Program Execution in the PyPy Environment
• Author: Mihaela Svetec
• Mentor: Klemo Vladimir (mentor)
• Committee member: Klemo Vladimir (predsjednik povjerenstva)
• Committee member: Marin Šilić (član povjerenstva)
• Committee member: Goran Delač (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2022-07-01, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

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.

Abstract (english)

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.

• Keywords: Python; CPython; PyPy; analiza učinkovitosti; kompilator u trenutku prevođenja
• Keywords (english): Python; CPython; PyPy; performance analysis; just-in-time compiler
• Language: croatian
• URN:NBN: urn:nbn:hr:168:174253
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-13 16:12:56