Thesis Details
Performance Analysis of Programs Based on PIN Framework
The goal of this thesis is to extend the Performance Version System - Perun by implementing a new Tracer engine leveraging PIN instrumentation framework. This extension implements basic Tracer functionality and, in addition to that, a recording of function arguments' values as well as basic block run-times. The additional data, along with the visualizations introduced in this thesis, provide the necessary context that simplifies the detection of performance degradation. Besides the PIN framework, the new Tracer engine implements an analysis of debug information in DWARF format (using the python pyelftools library) to gather details about function arguments before the data collection process. The resulting engine was tested on multiple implementations of sorting algorithms and successfully detected the most time consuming functions along with the information about the effect of its parameter value on the functions complexity. Testing the PIN engine on a larger-scale project revealed that, in comparison to other Tracer engine implementations, the engine performs better or comparably, and produces the correct output.
performance testing, performance bottlenecks, Perun, dynamic instrumentation, PIN
Grézl František, Ing., Ph.D. (DCGM FIT BUT), člen
Martínek Tomáš, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Peringer Petr, Dr. Ing. (DITS FIT BUT), člen
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), člen
@bachelorsthesis{FITBT23847,
author = "Peter Mo\v{c}\'{a}ry",
type = "Bachelor's thesis",
title = "Performance Analysis of Programs Based on PIN Framework",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2022,
location = "Brno, CZ",
language = "english",
url = "https://www.fit.vut.cz/study/thesis/23847/"
}