Thesis Details

Akcelerované neuronové sítě na grafické kartě

Bachelor's Thesis Student: Tomko Martin Academic Year: 2014/2015 Supervisor: Krčma Martin, Ing.
English title
Accelerated Neural Networks on GPU
Language
Czech
Abstract

This thesis deals with the implementation of an application for artificial neural networks simulation and acceleration using a graphics processing unit. The computation and training of feedforward neural networks using the Backpropagation algorithm are the main focus of this thesis, but the application also supports other network types, and it makes it possible to extend the application with different training algorithms. Next, the application allows us to create neural networks with structural anomalies, and thus, to test the neural network's fault tolerance. The application is implemented in the C++ language, using OpenCL to manage GPU computation. The Backpropagation acceleration results were compared with the free open source library FANN.

Keywords

Neural networks, machine learning, acceleration, GPU, OpenCL, C++

Department
Department of Computer Systems FIT BUT
Degree Programme
Information Technology
Status
defended, grade D
Date
17 June 2015
Reviewer
Zachariášová Marcela, Ing., Ph.D.
Committee
Hanáček Petr, doc. Dr. Ing. (DITS FIT BUT), předseda
Kořenek Jan, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Květoňová Šárka, Ing., Ph.D. (DIFS FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), člen
Citation
TOMKO, Martin. Akcelerované neuronové sítě na grafické kartě. Brno, 2015. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-17. Supervised by Krčma Martin. Available from: https://www.fit.vut.cz/study/thesis/17187/
BibTeX 
@bachelorsthesis{FITBT17187,
    author = "Martin Tomko",
    type = "Bachelor's thesis",
    title = "Akcelerovan\'{e} neuronov\'{e} s\'{i}t\v{e} na grafick\'{e} kart\v{e}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/17187/"
}

Theses

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