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Title:Razvoj podpore genetskemu programiranju na platformi cuda : magistrsko delo
Authors:ID Marinič, Aleks (Author)
ID Črepinšek, Matej (Mentor) More about this mentor... New window
Files:.pdf MAG_Marinic_Aleks_2025.pdf (2,07 MB)
MD5: 9672FD8270B00439A17DD8DDA59554B6
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Delo predstavlja razvoj programskega ogrodja GEEP za genetsko programiranje z uporabo C++/CUDA. Ogrodje izkorišča vzporedno procesiranje na NVIDIA GPE za znatno pospešitev evolucijskih algoritmov, kar je potrjeno z eksperimentalno validacijo. Vključuje dokumentacijo za uporabo in podporo za pisanje avtomatskih testov, kar omogoča enostaven začetek dela in nadaljnji razvoj. Rešitev je primerna za reševanje kompleksnih optimizacijskih problemov.
Keywords:genetsko programiranje, CUDA, C++, pohitritev, ogrodje, GEEP
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[A. Marinič]
Year of publishing:2025
Number of pages:1 spletni vir (1 datoteka PDF (X, 54 str.))
PID:20.500.12556/DKUM-96309 New window
UDC:004.42:[004.021:575.82](043.2)
COBISS.SI-ID:273050371 New window
Publication date in DKUM:03.03.2026
Views:142
Downloads:29
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-SA 4.0, Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Link:http://creativecommons.org/licenses/by-nc-sa/4.0/
Description:A Creative Commons license that bans commercial use and requires the user to release any modified works under this license.
Licensing start date:17.12.2025

Secondary language

Language:English
Title:Development of genetic programming support on the cuda platform
Abstract:The work presents the development of the GEEP software framework for genetic programming using C++/CUDA. The framework utilizes parallel processing on NVIDIDA GPEs to significantly accelerate evolutionary algorithms. This has been confirmed by experimental validation. It includes documentation for use and support for writing automated tests, which makes it easy to get started and continue development. The solution is suitable for solving complex optimization problems.
Keywords:genetic programming, CUDA, C++, speedup, framework, GEEP


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