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Title:
REŠEVANJE UGANK SUDOKU Z GENETSKIM ALGORITMOM NA GRAFIČNEM PROCESORJU
Authors:
ID
Brumec, Rok
(Author)
ID
Brest, Janez
(Mentor)
More about this mentor...
ID
Bošković, Borko
(Co-mentor)
Files:
UN_Brumec_Rok_2016.pdf
(2,09 MB)
MD5: 8B83C944EBE2409A24A4D6A7E34FD122
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 smo implementirali genetski algoritem za reševanje ugank Sudoku in izboljšali njegovo učinkovitost z izvajanjem na grafični procesni enoti. Za implementacijo genetskega algoritma na grafični procesni enoti smo uporabili ogrodje OpenCL. V diplomski nalogi najprej predstavimo Sudoku in genetske algoritme ter na kratko opišemo osnove paralelnega programiranja na grafični procesni enoti in opišemo ogrodje OpenCL. Na koncu opišemo našo implementacijo postopka reševanja Sudoka z genetskim algoritmom na grafični procesni enoti in predstavimo rezultate. Izvedli smo primerjavo z rezultati avtorjev iz literature.
Keywords:
Sudoku
,
genetski algoritem
,
OpenCL
,
paralelno izvajanje
,
grafična procesna enota
Place of publishing:
[Maribor
Publisher:
R. Brumec
Year of publishing:
2016
PID:
20.500.12556/DKUM-62893
UDC:
004.421:794.5(043.2)
COBISS.SI-ID:
20085270
NUK URN:
URN:SI:UM:DK:H18WLN7H
Publication date in DKUM:
16.09.2016
Views:
1992
Downloads:
119
Metadata:
Categories:
KTFMB - FERI
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Secondary language
Language:
English
Title:
SOLVING SUDOKU PUZZLES USING A GENETIC ALGORITHM ON GRAPHICS PROCESSOR
Abstract:
In this diploma we implement a genetic algorithm for solving Sudoku puzzles and improve its efficiency by running it on a graphics processing unit. For the implementation of our genetic algorithm on graphics processing unit the OpenCL framework was used. Firstly we describe Sudoku and genetic algorithms, then the basics of parallel computing on a graphics processing unit are portrayed. The implementation of our Sudoku solving genetic algorithm on a graphics processing unit is presented, and the obtained results are compared to those found in literature.
Keywords:
Sudoku
,
genetic algorithm
,
OpenCL
,
parallel computing
,
graphics processing unit
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