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Title:Urejanje števil z algoritmom radix na GPE
Authors:ID Koštomaj, Boštjan (Author)
ID Lukač, Niko (Mentor) More about this mentor... New window
Files:.pdf VS_Kostomaj_Bostjan_2018.pdf (1,60 MB)
MD5: 321E17498EDA92EF1DDA457AE5866A4C
PID: 20.500.12556/dkum/5b35ba64-5402-4102-b915-ef224e94dd22
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomski nalogi raziščemo področje urejanja števil z algoritmom radix in paralelizacijo algoritma na grafični procesni enoti (GPE). Za računanje na GPE smo uporabili tehnologijo CUDA, ki omogoča hitrejšo in učinkovitejšo uporabo grafičnih procesorjev. V nadaljevanju smo primerjali hitrosti urejanja različnih podatkovnih tipov, različnih velikosti podatkov in časovne razlike pri paralelnem in zaporednem urejanju radix. Ugotovili smo, da je paralelno urejanje približno 50-krat hitrejše.
Keywords:algoritmi urejanja, urejanje radix, CUDA, paralelizacija, GPE
Place of publishing:[Maribor
Publisher:B. Koštomaj
Year of publishing:2018
PID:20.500.12556/DKUM-71544 New window
UDC:004.421:004.424.5.021(043.2)
COBISS.SI-ID:21783062 New window
NUK URN:URN:SI:UM:DK:FVKRL7XO
Publication date in DKUM:09.10.2018
Views:1564
Downloads:121
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:21.08.2018

Secondary language

Language:English
Title:GPU-Based radix sorting algorithm
Abstract:In this thesis we investigate the field of sorting numbers with radix sort algorithm and its parallelization on the graphic process unit (GPU). For processing on GPU we have used the CUDA technology, which enables faster and more efficient use of graphics processors. Next, we have compared the speed of sorting different data types, different data sizes and time differences between parallel and serial radix sort. We have found out that parallelization is approximately 50-times faster.
Keywords:sorting algorithms, radix sort, CUDA, parallelization, GPU


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