Programski jezik za paralelno procesiranje statističnih podatkov

diplomsko delo

Luka Woititz (Author), Janez Brest (Mentor), Borko Bošković (Co-mentor)

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;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2019
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[L. Woititz]
UDC:	004.4'41(043.2)
COBISS:	22862358
Views:	628
Downloads:	56
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	A programming language for parallel processing of statistical data
Secondary 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++.
Secondary keywords:	programming language;parallel computation;interpreter;compiler;statistics;
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Računalništvo in informacijske tehnologije
Pages:	XI, 73 str.
ID:	11227880