diplomsko delo
Gregor Vitek (Author), Uroš Lotrič (Mentor)

Abstract

V diplomskem delu opisujemo zasnovo in izvedbo aplikacije, ki na heterogenem računalniškem sistemu razdeli, izračuna in združi vzporeden računski problem. Za izračun aplikacija izrabi vse računske naprave, ki so ji dosegljive. Naš cilj v delu je ugotoviti, kako najbolje razdeliti računski problem med naprave tako, da je izkoriščenost sistema čim večja. Predstavimo možne načine delitve problema, njihove prednosti in slabosti. Rešitve so testirane in med seboj primerjane. Testiranje je opravljeno z računanjem Mandelbrotove množice. Za dostop do naprav na sistemu aplikacija uporablja ogrodje OpenCL. Ugotovili smo, kako najbolje dodeljevati delo procesnim enotam in kako nastaviti velikosti delovnih skupin za čim boljši izkoristek naprav.

Keywords

heterogeni sistemi;OpenCL;vzporedno računanje;visoko zmogljivo računanje;računalništvo;računalništvo in informatika;univerzitetni študij;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FRI - Faculty of Computer and Information Science
Publisher: [G. Vitek]
UDC: 004.2(043.2)
COBISS: 1536563907 Link will open in a new window
Views: 696
Downloads: 190
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: Distribution of load in heterogeneous computer systems
Secondary abstract: The thesis explores the formulation and implementation of an application that divides, computes and merges a parallel computing problem on a heterogeneous system. The application uses all available compute devices. The goal is to determine how to divide a computing problem between devices to maximise the system's utilisation. The thesis presents possible solutions to the problem, their strengths, and weaknesses. Some of the solutions are benchmarked and compared. For benchmarking the Mandelbrot set was generated. Processing units are accessed and managed using the OpenCL framework. We found out how best to divide and allocate work, and how to set the size of work groups to imporve device utilisation.
Secondary keywords: heterogeneous systems;OpenCL;parallel computing;high performance computing;computer science;computer and information science;diploma;
File type: application/pdf
Type (COBISS): Bachelor thesis/paper
Study programme: 1000468
Embargo end date (OpenAIRE): 1970-01-01
Thesis comment: Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages: 48 str.
ID: 8966497
Recommended works:
, diplomsko delo
, no subtitle data available
, presentation at the PRACE scientific & industrial conference 2018, 29-31 May 2018, Ljubljana, Slovenia
, a focus on digital transformation and HPC
, diplomsko delo univerzitetnega študijskega programa