magistrsko delo
Rok Novosel (Author), Boštjan Slivnik (Mentor)

Abstract

Čeprav vzporedni programski jeziki obstajajo že desetletja, v znanstvenem vzporednem programiranju še vedno prevladujejo Fortran, C in C++ dopolnjeni z vzporednimi programskimi ogrodji MPI, OpenMP, OpenCL in CUDA. V tem delu izvedemo primerjalno študijo novih vzporednih programskih jezikov Chapel in Julia. Glede na vzporedne zmožnosti se oba jezika precej razlikujeta med sabo in v primerjavi s Fortranom in Cjem. Študijo izvedemo na testnih problemih, ki izpostavljajo potrebo po različnih pristopih vzporednega programiranja. Testne probleme implementiramo v Chapelu in Juliji ter Cju, ki ga dopolnimo z MPI-jem in OpenMP-jem. Pokažemo, da tako Chapel kot Julia predstavljata uspešni alternativi Fortranu in C/C++ z vzporednimi programskimi ogrodji. Učinkovitost programerja se znatno izboljša, medtem ko hitrost programov ni bistveno poslabšana.

Keywords

programski jeziki;vzporedno programiranje;vzporedni programski jeziki;računalništvo;računalništvo in informatika;magisteriji;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UL FRI - Faculty of Computer and Information Science
Publisher: [R. Novosel]
UDC: 004.42(043.2)
COBISS: 1538306499 Link will open in a new window
Views: 516
Downloads: 172
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: English
Secondary title: Parallel programming languages instead of parallel programming frameworks
Secondary abstract: Although parallel programming languages have existed for decades, (scientific) parallel programming is still dominated by Fortran and C/C++ augmented with parallel programming frameworks, e.g., MPI, OpenMP, OpenCL and CUDA. We perform a comparative study of Chapel and Julia, two languages quite different from one another as well as from Fortran and C, in regard to parallel programming on distributed and shared memory computers. The study is carried out using test cases that expose the need for different approaches to parallel programming. Test cases are implemented in Chapel and Julia, and in C augmented with MPI and OpenMP. It is shown that both languages, Chapel and Julia, represent a viable alternative to Fortran and C/C++ augmented with parallel programming frameworks: the programmer's efficiency is considerably improved while the speed of programs is not significantly affected.
Secondary keywords: programming languages;parallel programming;parallel programming languages;computer science;computer and information science;master's degree;
Type (COBISS): Master's thesis/paper
Study programme: 1000471
Embargo end date (OpenAIRE): 1970-01-01
Thesis comment: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages: 70 str., [8] str. pril.
ID: 11211152