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undergraduate thesis
Paralelno programiranje u CUDA okruženju
Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. urn:nbn:hr:179:622879
Kovačević, Nikola
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Institutional repository: Repository of the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture

Cite this document

Kovačević, N. (2022). Paralelno programiranje u CUDA okruženju (Undergraduate thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:622879

Kovačević, Nikola. "Paralelno programiranje u CUDA okruženju." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:622879

Kovačević, Nikola. "Paralelno programiranje u CUDA okruženju." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:622879

Kovačević, N. (2022). 'Paralelno programiranje u CUDA okruženju', Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 30 December 2024, https://urn.nsk.hr/urn:nbn:hr:179:622879

Kovačević N. Paralelno programiranje u CUDA okruženju [Undergraduate thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2022 [cited 2024 December 30] Available at: https://urn.nsk.hr/urn:nbn:hr:179:622879

N. Kovačević, "Paralelno programiranje u CUDA okruženju", Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:179:622879

Metadata
TitleParalelno programiranje u CUDA okruženju
Title (english)Parallel programming in CUDA environment
AuthorNikola Kovačević
MentorLjiljana Šerić (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2022-09-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Kroz sadržaj ovog rada obrađena je tema paralelnog programiranja korištenjem CUDA arhitekture primijenjena na Three-cornered hat algoritam. Obrađena je arhitektura CUDA sustava koji omogućavaju paralelno programiranje. Objašnjena je i arhitektura memorije grafičke kartice kao i ostali koncepti paralelnog programiranja. Za implementaciju je odabran prethodno teorijski opisan Three-cornered hat algoritam isprogramiran korištenjem programskog jezika Python. Za implementaciju proceduralnog dijela algoritma korištena je standardna Python sintaksa, dok je za paralelizirane dijelove korištena CuPy biblioteka kreirana za paralelno programiranje u Pythonu. Sav kod pisan je i izvršavan u google colaboratory okruženju. Provedeni eksperiment pokazuje da je postignuto znatno ubrzanje izvršavanja koda i na relativno malim količinama podataka, a korisnost je veća kod većih skupova.
Abstract (english)
Throughout the content of this paper, the topic of parallel programming using CUDA architecture on the example of Three-cornered hat algorithm has been described. Architecture of CUDA environment providing a platform used for running parallelized code on graphics cards has also been explained. Also, memory architecture and other parallel programing concepts have been explained throughout this paper. The task was to introduce parallel programming to existing Three-cornered hat algorithm using Python programming language. To implement procedural code, regular Python synthax has been used. However, for parallel programming part, CuPy library compatible with Python has been used. All the code mentioned was written and executed in google colaboratory environment. The conducted experiment has shown that there was improvement in code execution time on relatively small datasets, with significant improvement on larger datasets.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:622879
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-05-24 07:38:46