prikaz prve stranice dokumenta Network on chip many-core architectures for multimedia processing
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doctoral thesis
Network on chip many-core architectures for multimedia processing
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:848483
Hofman, Daniel
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Control and Computer Engineering

Institutional repository: FER Repository

Cite this document

Hofman, D. (2015). Network on chip many-core architectures for multimedia processing (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:848483

Hofman, Daniel. "Network on chip many-core architectures for multimedia processing." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:848483

Hofman, Daniel. "Network on chip many-core architectures for multimedia processing." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:848483

Hofman, D. (2015). 'Network on chip many-core architectures for multimedia processing', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:848483

Hofman D. Network on chip many-core architectures for multimedia processing [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 December 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:848483

D. Hofman, "Network on chip many-core architectures for multimedia processing", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:848483

Metadata
TitleNetwork on chip many-core architectures for multimedia processing
Title (croatian)Mnogojezgrene arhitekture mreža na čipu za obradu multimedije
AuthorDaniel Hofman
MentorMario Kovač (mentor)
Committee memberMario Kovač (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Control and Computer Engineering)
Zagreb
Defense date and country2015, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Automation and Robotics
Universal decimal classification
(UDC)		621.3 - Electrical engineering
Abstract
That they will try to give maximal advantage to the desired set of multimedia processing applications running on a many-core processor. They enable the network to prioritize desired traffic and to schedule and route it through NoC with proposed Smart Stream Priority Routing (SSMPR) routers. SSMPR routers are a single-hop multiple asynchronous repeated traversal routers that can dynamically create virtual paths and traverse flits in just one network cycle over several links and routers. Optimizations of multimedia processing applications for the proposed architectures is proposed and implemented with a goal of efficient processing of data. Two multimedia processing applications are described: image compression based on predictive coding and H.264 video coder. Prioritization of traffic is performed for the data and computationally intensive parts of the predictive coding application, using a streaming model of computation. H.264 application has been optimized on the frame level granularity with prioritizing the threads encoding the frames. Experiments and simulation results show speedups and prove that SSMPR architecture proposed in the thesis has a potential to improve priority application execution on many-core architectures. Proposed architectures and algorithms are scalable and show reduction in energy consumption.
Abstract (croatian)
Ova doktorska disertacija predstavlja istražvanje u podrućju obrade multimedije na mnogojezgrenim arhitekturama. Predložene su nove arhitekture koje omogućuju prenosenje informacije o prioritetnom prometu i prenošenje prioritetnog prometa s višim prioritetom. Zajedno s arhitekturama predloženi su i algoritmi za umjeravanje i raspoređivanje tokova podataka. Ova vrsta algoritama za kvalitetu usluge su algoritmi koji će pokušati s najboljim performansama prenijeti pakete što znači da će pokušati dati maksimalnu prednost željenom skupu aplikacija za obradu multimedije koje rade na višejezgrenom procesoru. Oni omogućuju mreži da prioritizira određeni promet, rasporedi i usmjeri ga kroz mrežu na čipu pomoću "Smart Stream Priority Routing" (SSMPR) usmjerivaća. SSMPR usmjerivaći mogu napraviti virtualne putove i prenijeti paketiće u samo jednom mrežnom ciklusu preko nekoliko poveznica i usmjerivaća. U cilju učinkovitog procesiranja podataka, predložena je i implementirana optimizacija aplikacija za obradu multimedije za predložene arhitekture. Opisane su dvije aplikacije za obradu multimedijskih podataka: kompresija slika bazirana na prediktivnom kodiranju i H.264 video koder. Prioritizacija prometa se vrši za dijelove aplikacije za prediktivno kodiranje koji su podatkovno i računski zahtjevni, koristeći tokovni računalni model. H.264 aplikacija je optimizirana na razini okvira s prioritizacijom dretvi koje vrse kodiranje. Eksperimenti i simulacijski rezultati pokazuju ubrzanja i dokazuju da predložena SSMPR arhitektura ima potencijal da ubrza izvođenje prioritetnih aplikacija na višejezgrenim arhitekturama. Predložene arhitekture i algoritmi su skalabilni i pokazuju smanjenu potrošnju energije.
Keywords
Keywords (croatian)
Languageenglish
URN:NBNurn:nbn:hr:168:848483
Study programmeTitle: Electrical Engineering and Computing
Study programme type: university
Study level: postgraduate
Academic / professional title: Doktor znanosti elektrotehnike i računarstva (Doktor znanosti elektrotehnike i računarstva)
Type of resourceText
Extent159 str. ; 30 cm.
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Created on2019-04-15 15:41:06