Cibil, Erinç

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Profile URL
https://gcris.yasar.edu.tr/handle/123456789/12768
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Job Title
Araş.Gör.
Email Address
Main Affiliation
01.01.09.07. Yazılım Mühendisliği Bölümü
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Former Staff
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57478712700
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2

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1

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1

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Proceedings - 6th International Conference on Computer Science and Engineering, UBMK 2021 -- 6th International Conference on Computer Science and Engineering, UBMK 2021 -- 15 September 2021 through 17 September 2021 -- Ankara -- 1768261
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    Conference Object
    Implementation of Semantic Web in the Companies: Human Resources Ontology
    (Institute of Electrical and Electronics Engineers Inc., 2021) Cibil, Erinç; Komesli, Murat
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    Master Thesis
    Optimization of Convolutional Neural Networks via Graphic Cards for Centralized Data
    (2019) Cibil, Erinç; Zincir, İbrahim
    In this thesis, it is aimed to design a new approach optimized for systems that use multiple graphics processing units (GPU) in order to find highly discriminative attributes of digitized handwritten numbers obtained from MNIST dataset and their results. In this study, the convolutional neural network (CNN) method and digitized handwriting classification method are discussed in three sections. In the first part, the classification is obtained by implanting the naive convolutional neural network into the graphic processing unit. In the second stage, the process layers for graphic processing units are parallelized and the data is adjusted for parallel processing layers and the classification is aimed with optimized memory access pattern approach. In the last stage, the method has been improved to work on more than one graphic processing unit. The aim of this stage is to improve the education time of convolutional neural network inversely proportional to the number of graphic processing units used.