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master's thesis
Algoritmi s matricama koristeći CUDA tehnologiju
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2023. urn:nbn:hr:200:198581
Lekšan, Dražen
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Lekšan, D. (2023). Algoritmi s matricama koristeći CUDA tehnologiju (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:198581

Lekšan, Dražen. "Algoritmi s matricama koristeći CUDA tehnologiju." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2023. https://urn.nsk.hr/urn:nbn:hr:200:198581

Lekšan, Dražen. "Algoritmi s matricama koristeći CUDA tehnologiju." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2023. https://urn.nsk.hr/urn:nbn:hr:200:198581

Lekšan, D. (2023). 'Algoritmi s matricama koristeći CUDA tehnologiju', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 14 March 2025, https://urn.nsk.hr/urn:nbn:hr:200:198581

Lekšan D. Algoritmi s matricama koristeći CUDA tehnologiju [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2023 [cited 2025 March 14] Available at: https://urn.nsk.hr/urn:nbn:hr:200:198581

D. Lekšan, "Algoritmi s matricama koristeći CUDA tehnologiju", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:200:198581

Metadata
TitleAlgoritmi s matricama koristeći CUDA tehnologiju
Title (english)Matrix algorithms using CUDA technology
AuthorDražen Lekšan
MentorAlfonzo Baumgartner (mentor)
Committee memberTomislav Keser (predsjednik povjerenstva)
Committee memberTomislav Galba (član povjerenstva)
Committee memberAlfonzo Baumgartner (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2023-10-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Process Computing
Abstract
U ovom radu su korištenjem CUDA tehnologije implementirani algoritmi za zbrajanje, množenje i inverz matrice. U početku je objašnjenja CUDA arhitektura i navedeni su neki primjeri primjene CUDA tehnologije u industriji. Zatim su algoritmi objašnjeni teorijski i prikazan je način njihove programske implementacije. Na svim implementiranim algoritmima je provedeno testiranje performansi i točnosti koristeći tri modela grafičkih kartica. Zbog bolje mogućnosti usporedbe korištena je i serijska verzija svih algoritama koja se izvodi na CPU-u. Izmjereni rezultati su grafički prikazani kako bi se dobio bolji uvid u vremensku složenost implementiranih algoritama.
Abstract (english)
In this paper, algorithms for addition, multiplication and matrix inverse are implemented using CUDA technology. In the beginning, the CUDA architecture is explained and some examples of the application of CUDA technology in industry are given. Then the algorithms are explained theoretically and the method of their programmatic implementation is shown. All implemented algorithms were tested for performance and accuracy using three models of graphics cards. Due to the better possibility of comparison, the serial version of all algorithms, which is executed on the CPU, was also used. The measured results are graphically presented in order to get a better insight into the time complexity of the implemented algorithms.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:198581
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-10-17 10:39:20