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undergraduate thesis
Masivna paralelna obrada
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:070846
Lovrenčić, Rudolf
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Lovrenčić, R. (2017). Masivna paralelna obrada (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:070846

Lovrenčić, Rudolf. "Masivna paralelna obrada." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:070846

Lovrenčić, Rudolf. "Masivna paralelna obrada." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:070846

Lovrenčić, R. (2017). 'Masivna paralelna obrada', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:070846

Lovrenčić R. Masivna paralelna obrada [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 May 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:070846

R. Lovrenčić, "Masivna paralelna obrada", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:070846

Metadata
TitleMasivna paralelna obrada
Title (english)Accelerated Massive Parallelism
AuthorRudolf Lovrenčić
MentorDomagoj Jakobović (mentor)
Committee memberDomagoj Jakobović (predsjednik povjerenstva)
Committee memberMarko Đurasević (član povjerenstva)
Committee memberAdrian Satja Kurdija (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ubrzanje programa pomoću grafičkih procesora je u stalnom usponu proteklih desetak godina. Snaga grafičkih kartica primjenjuje se na raznolike probleme iz računarske prakse, a ne samo za iscrtavanje računalne grafike. Za potrebe rada, ostvaren je idealizirani program za paralelizaciju kako bi se pokazala mogućnost ubrzanja programskim alatom C++ AMP. Obrađeno je nekoliko dodatnih problema iz područja genetskog programiranja i neuro-računarstva. Testovi su odrađeni i na različitim računalima u cilju pronalaska ovisnosti između ubrzanja i raspoloživih računalnih resursa. Rezultati su prikazani na dijagramima i tablicama u kojima se vidi ovisnost ubrzanja o količini operacija.
Abstract (english)
Field of program acceleration using graphics processing units has seen constant growth over the past ten years. Computing power of GPUs is used for general-purpose problem-solving, instead of using their resources exclusively on rendering computer graphics. An ideal program for parallelization has been implemented for the purpose of this paper in order to show possible gains using the C++ AMP technology. Few other programs from fields of genetic programming and neurocomputing have been accelerated as well. Tests have been done on different computers in order to find connection between acceleration and available hardware. Results are displayed on graphs and in tables which show connection between number of operations and gained acceleration.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:070846
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2019-03-13 22:21:28