Thesis Details

Akcelerace neuronových sítí s využitím GPU

Master's Thesis Student: Šimíček Ondřej Academic Year: 2014/2015 Supervisor: Petrlík Jiří, Ing.
English title
The GPU Based Acceleration of Neural Networks
Language
Czech
Abstract

The thesis deals with the acceleration of backpropagation neural networks using graphics chips. To solve this problem it was used the OpenCL technology that allows work with graphics chips from different manufacturers. The main goal was to accelerate the time-consuming learning process and classification process. The acceleration was achieved by training a large amount of neural networks simultaneously. The speed gain was used to find the best settings and topology of neural network for a given task using genetic algorithm.

Keywords
Neural network, learning, classification, OpenCL, GPGPU, GPU, genetic algorithm
Department
Degree Programme
Information Technology, Field of Study Information Technology Security
Files
Status
defended, grade B
Date
24 June 2015
Reviewer
Committee
Vojnar Tomáš, prof. Ing., Ph.D. (DITS FIT BUT), předseda
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT), člen
Hrubý Martin, Ing., Ph.D. (DITS FIT BUT), člen
Rozinajová Viera, doc. Ing., Ph.D. (FIIT STU), člen
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Citation
ŠIMÍČEK, Ondřej. Akcelerace neuronových sítí s využitím GPU. Brno, 2015. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-24. Supervised by Petrlík Jiří. Available from: https://www.fit.vut.cz/study/thesis/16776/
BibTeX
@mastersthesis{FITMT16776,
    author = "Ond\v{r}ej \v{S}im\'{i}\v{c}ek",
    type = "Master's thesis",
    title = "Akcelerace neuronov\'{y}ch s\'{i}t\'{i} s vyu\v{z}it\'{i}m GPU",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/16776/"
}
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