Parallel programming languages instead of parallel programming frameworks

Rok Novosel (2019) Parallel programming languages instead of parallel programming frameworks. MSc thesis.

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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.

Item Type:

Thesis (MSc thesis)

Keywords:

programming languages, parallel programming, parallel programming languages

Number of Pages:

Language of Content:

Slovenian

Mentor / Comentors:

Name and Surname	ID	Function
doc. dr. Boštjan Slivnik	280	Mentor

Link to COBISS:

http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=)

Institution:

University of Ljubljana

Department:

Faculty of Computer and Information Science

Item ID:

4446

Date Deposited:

27 Aug 2019 13:17

Last Modified:

31 Aug 2019 00:07

URI:

http://eprints.fri.uni-lj.si/id/eprint/4446

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