National Repository of Grey Literature 5 records found  Search took 0.00 seconds. 
Computational tasks for Parallel data processing course
Horečný, Peter ; Rajnoha, Martin (referee) ; Mašek, Jan (advisor)
The goal of this thesis was to create laboratory excercises for subject „Parallel data processing“, which will introduce options and capabilities of Apache Spark technology to the students. The excercises focus on work with basic operations and data preprocessing, work with concepts and algorithms of machine learning. By following the instructions, the students will solve real world situations problems by using algorithms for linear regression, classification, clustering and frequent patterns. This will show them the real usage and advantages of Spark. As an input data, there will be databases of czech and slovak companies with a lot of information provided, which need to be prepared, filtered and sorted for next processing in the first excercise. The students will also get known with functional programming, because the are not whole programs in excercises, but just the pieces of instructions, which are not repeated in the following excercises. They will get a comprehensive overview about possibilities of Spark by getting over all the excercices.
Vyhodnocování relačních dotazů v proudově orientovaném prostředí
Kikta, Marcel ; Bednárek, David (advisor) ; Černý, Tomáš (referee)
This thesis deals with the design and implementation of an optimizer and a transformer of relational queries. Firstly, the thesis describes the theory of the relational query compilers. Secondly, we present the data structures and algorithms used in the implemented tool. Finally, the important implementation details of the developed tool are discussed. Part of the thesis is the selection of used relational algebra operators and design of an appropriate input. Input of the implemented software is a query written in a XML file in the form of relational algebra. Query is optimized and transformed into physical plan which will be executed in the parallelization framework Bobox. Developed compiler outputs physical plan written in the Bobolang language, which serves as an input for the Bobox. Powered by TCPDF (
Applicability of the CUDA library in practical image processing
Korčuška, Robert ; Čáp, Martin (referee) ; Klusáček, Stanislav (advisor)
This thesis contains basic theoretical information about image processing, parallel data processing and information about CUDA standard in detail, also desribes aplicability of CUDA in parallel data processing. Testing application compares speed of the image processing in serial CPU application and GPU parallel application, and describes basic methods of parallel programming in the CUDA platform.
Scalable preprocessing of data using Hadoop tool
Marinič, Michal ; Šmirg, Ondřej (referee) ; Burget, Radim (advisor)
The thesis is concerned with scalable pre-processing of data using Hadoop tool which is used for processing of large volumes of data. In the first theoretical part it focuses on explaining of functioning and structure of the basic elements of Hadoop distributed file system and MapReduce methods for parallel processing. The latter practical part of the thesis describes the implementation of basic Hadoop cluster in pseudo-distributed mode for easy program-debugging, and also describes an implementation of Hadoop cluster in fully-distributed mode for simulation in practice.
Analysis of progressive hardware for real-time media processing
Režný, Jan ; Vrba, Kamil (referee) ; Sysel, Petr (advisor)
Diploma thesis focuses on the selection of suitable HW solution for parallell processing of multiple audio sources. Compares several different platforms based on architectures ARM, x86 and Epiphany, compares their performance in serial and parallel data processing, their energy consumption and price.

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