Programming model for heterogeneous computing systems with customizable accelerators

Pervan, Branimir

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doctoral thesis

Programming model for heterogeneous computing systems with customizable accelerators

Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:513967

Pervan, Branimir

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Control and Computer Engineering

Cite this document

APA 6th Edition

Pervan, B. (2022). Programming model for heterogeneous computing systems with customizable accelerators (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:513967

MLA 8th Edition

Pervan, Branimir. "Programming model for heterogeneous computing systems with customizable accelerators." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:513967

Chicago 17th Edition

Harvard

Pervan, B. (2022). 'Programming model for heterogeneous computing systems with customizable accelerators', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 September 2023, https://urn.nsk.hr/urn:nbn:hr:168:513967

Vancouver

Pervan B. Programming model for heterogeneous computing systems with customizable accelerators [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2023 September 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:513967

IEEE

B. Pervan, "Programming model for heterogeneous computing systems with customizable accelerators", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:513967

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:513967

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Metadata

Title	Programming model for heterogeneous computing systems with customizable accelerators
Title (croatian)	Programski model za raznorodne računalne sustave s prilagodljivim ubrzivačima
Author	Branimir Pervan
Mentor	Josip Knezović (mentor)
Committee member	Josip Knezović (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing (Department of Control and Computer Engineering) Zagreb
Defense date and country	2022, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing
Universal decimal classification (UDC)	004 - Computer science and technology. Computing. Data processing
Abstract	Nowadays, heterogeneity emerged as one of the key development points for reaching the so-called exascale domain in the field of high-performance computing. Unlike fully customized accelerators, customizable accelerators in heterogeneous systems balance performance and energy efficiency, and the ability to conform to more than one application domain. However, current programming models usually rely on the imperative programming paradigm which inefficiently exploits heterogeneity and parallelism. This thesis proposes an alternative approach to heterogeneous systems programming, by exposing a model which enables the programmer to express what is being computed, rather than how computation is executed. To deliver such a model, the use of RISE language is proposed, which was appropriately extended and adapted. As a testing platform, GAP8, a heterogeneous system with a customizable accelerator and hardware convolution engine was used. The results show that it is possible to provide a simpler and more concise programming model while keeping performance and energy efficiency at least on par compared to the conventional programming model for the target platform. Finally, this thesis achieved the following scientific contribution: 1. Programming model for heterogeneous systems with customizable accelerators based on a domain-specific language; 2. Adaptive mechanism of expression customization for accelerator utilization using high-level framework with hardware-agnostic domain transformations for performance and energy efficiency optimization.
Abstract (croatian)	Ključna točka razvoja za postizanje takozvane exascale domene u području računarstva visokih performansi je heterogenost sustava. Za razliku od potpuno prilagođenih ubrzivača, prilagodljivi ubrzivači u heterogenim sustavima balansiraju između performansi i energetske efikasnosti, te mogućnosti da se prilagode za više od jednu aplikacijsku domenu. S druge strane, trenutni programski modeli obično se oslanjaju na imperativnu programsku paradigmu koja inherentno neefikasno iskorištava heterogenost i paralelizam. Ovaj rad predlaže alternativan pristup programiranju heterogenih sustava izlaganjem modela pomoću kojega programer izražava što se računa, umjesto kako se neka operacija izvodi. Za izvedbu takvog modela, predlaže se korištenje jezika RISE, koji je na prikladan način proširen i prilagođen. Kao testna platforma korišten je heterogeni sustav GAP8 s prilagodljivim ubrzivačem, te ubrzivačem za izračun operacije konvolucije. Rezultati pokazuju kako je, korištenjem jednostavnijeg i konciznijeg programskog modela, moguće zadržati performanse i energetsku efikasnost barem jednakima u usporedbi s konvencionalnim programskim modelom za ciljnu platformu. Ova disertacija postigla je sljedeći znanstveni doprinos: 1. Programski model za raznorodne sustave s prilagodljivim ubrzivačima temeljen na domenski specifičnom jeziku; 2. Adaptivni mehanizam prilagodbe izraza za iskorištavanje sklopovskog ubrzivača primjenom domenskih transformacija na višim razinama neovisnim o detaljima sklopovske platforme s ciljem optimizacije performanci i energetske učinkovitosti.
Keywords
Keywords (croatian)
Language	english
URN:NBN	urn:nbn:hr:168:513967
Promotion	2022
Study programme	Title: Computer Science Study programme type: university Study level: postgraduate Academic / professional title: Doktor znanosti (Doktor znanosti)
Type of resource	Text
Extent	xvi, 140 str. : graf. prikazi
File origin	Born digital
Access conditions	Open access
Terms of use
Repository	FER Repository
Created on	2022-05-23 13:38:24