High-performance forward error correction: Enabling multi-gigabit flows and beyond on commodity GPU and CPU hardware in presence of packet loss

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F16%3A00087775" target="_blank" >RIV/00216224:14610/16:00087775 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.sciencedirect.com/science/article/pii/S0167739X15000990" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0167739X15000990</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.future.2015.04.007" target="_blank" >10.1016/j.future.2015.04.007</a>

Jazyk výsledku

angličtina

Název v původním jazyce

High-performance forward error correction: Enabling multi-gigabit flows and beyond on commodity GPU and CPU hardware in presence of packet loss

Popis výsledku v původním jazyce

In demanding real-time multimedia transmissions, even a small packet loss might significantly degrade the visual quality. As retransmission is not an option in real-time transfers especially when transmitting the data over long distances, it is necessary to employ mechanisms of Forward Error Correction (FEC). Low-Density Generator Matrix (LDGM) codes are known to be suitable for coding on large block sizes, however, high bitrates of currently used video formats (FullHD, 4K) also require high throughput of FEC coding and decoding. We propose a parallel design of LDGM encoding and decoding algorithms suitable for off-the-shelf, (massively) parallel platforms, such CPUs with vector units or GPUs, and evaluate our approach in real-world scenarios of high-definition and 4K video transmissions.

Název v anglickém jazyce

High-performance forward error correction: Enabling multi-gigabit flows and beyond on commodity GPU and CPU hardware in presence of packet loss

Popis výsledku anglicky

In demanding real-time multimedia transmissions, even a small packet loss might significantly degrade the visual quality. As retransmission is not an option in real-time transfers especially when transmitting the data over long distances, it is necessary to employ mechanisms of Forward Error Correction (FEC). Low-Density Generator Matrix (LDGM) codes are known to be suitable for coding on large block sizes, however, high bitrates of currently used video formats (FullHD, 4K) also require high throughput of FEC coding and decoding. We propose a parallel design of LDGM encoding and decoding algorithms suitable for off-the-shelf, (massively) parallel platforms, such CPUs with vector units or GPUs, and evaluate our approach in real-world scenarios of high-definition and 4K video transmissions.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GAP202%2F12%2F0306" target="_blank" >GAP202/12/0306: Dyschnet - Dynamické plánování a rozvrhování výpočetních a síťových zdrojů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Future Generation Computer Systems

ISSN

0167-739X

e-ISSN

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Svazek periodika

54

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

10

Strana od-do

326-335

Kód UT WoS článku

000368383200026

EID výsledku v databázi Scopus

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