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Title:Programski jezik za paralelno procesiranje statističnih podatkov : diplomsko delo
Authors:Woititz, Luka (Author)
Brest, Janez (Mentor) More about this mentor... New window
Bošković, Borko (Co-mentor)
Files:.pdf UN_Woititz_Luka_2019.pdf (667,85 KB)
MD5: 57E23B60ACA7668069B6F344A3CC4C9F
 
.zip UN_Woititz_Luka_2019.zip (703,01 KB)
MD5: 1C80281A94CE55952E5E44910525D3D3
 
Language:Slovenian
Work type:Bachelor thesis/paper (mb11)
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V okviru diplomskega dela smo predstavili tolmačen in prevajan programski jezik, ki postavlja v ospredje slog vzporednega programiranja, za namene osnovnega statističnega procesiranja podatkov. Z enkapsulacijo zapletenih podrobnosti takšnega procesiranja, smo za programerje začetnike in naprednejše uporabnike izdelali jezik, ki nudi preprost vmesnik za programiranje brez modularnih razširitev. Najprej smo opravili pregled sorodnih rešitev in v glavnem delu izpostavili jezik kot osrednjo temo. Opravili smo testiranje in meritve, s katerimi smo ovrednotili tezo hitrejšega procesiranja z vzporednimi pristopi, ter izvedli primerjavo zahtevnosti implementacije algoritma v našem jeziku in C++.
Keywords:programski jezik, paralelno računanje, tolmač, prevajalnik, statistika
Year of publishing:2019
Place of performance:Maribor
Publisher:[L. Woititz]
Number of pages:XI, 73 str.
Source:Maribor
UDC:004.4\'41(043.2)
COBISS_ID:22862358 New window
NUK URN:URN:SI:UM:DK:XI3SYZ9F
Views:356
Downloads:37
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Categories:KTFMB - FERI
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Licences

License:CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:http://creativecommons.org/licenses/by-nc/4.0/
Description:A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.
Licensing start date:19.09.2019

Secondary language

Language:English
Title:A programming language for parallel processing of statistical data
Abstract:In this thesis we presented an interpreted and compiled programming language for the purpose of basic statistical processing, with emphasis on the parallel programming paradigm. With the encapsulation of complex details of such processing, we were able to offer a simple programming interface for beginners and more advanced programmers without the need of modular extensions. First we made a review of comparable solutions and focused on the language in the main part. We made tests and measurements with which we evaluated our hypothesis of faster processing with parallel methods and finally compared the complexity of algorithm implementation in our language with C++.
Keywords:programming language, parallel computation, interpreter, compiler, statistics


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