ALMARVI Execution Platform: Heterogeneous Video Processing SoC Platform on FPGA

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00499963" target="_blank" >RIV/67985556:_____/19:00499963 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007%2Fs11265-018-1424-1" target="_blank" >https://link.springer.com/article/10.1007%2Fs11265-018-1424-1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s11265-018-1424-1" target="_blank" >10.1007/s11265-018-1424-1</a>

Jazyk výsledku

angličtina

Název v původním jazyce

ALMARVI Execution Platform: Heterogeneous Video Processing SoC Platform on FPGA

Popis výsledku v původním jazyce

The proliferation of processing hardware alternatives allows developers to use various customized computing platforms to run their applications in an optimal way. However, porting application code on custom hardware requires a lot of development and porting effort. This paper describes a heterogeneous computational platform (the ALMARVI execution platform) comprising of multiple communicating processors that allow easy programmability through an interface to OpenCL. The ALMARVI platform uses processing elements based on both VLIW and Transport Triggered Architectures (ρ-VEX and TCE cores, respectively). It can be implemented on Zynq devices such as the ZedBoard, and supports OpenCL by means of the pocl (Portable OpenCL) project and our ALMAIF interface specification. This allows developers to execute kernels transparently on either processing elements, thereby allowing to optimize execution time with minimal design and development effort.

Název v anglickém jazyce

ALMARVI Execution Platform: Heterogeneous Video Processing SoC Platform on FPGA

Popis výsledku anglicky

The proliferation of processing hardware alternatives allows developers to use various customized computing platforms to run their applications in an optimal way. However, porting application code on custom hardware requires a lot of development and porting effort. This paper describes a heterogeneous computational platform (the ALMARVI execution platform) comprising of multiple communicating processors that allow easy programmability through an interface to OpenCL. The ALMARVI platform uses processing elements based on both VLIW and Transport Triggered Architectures (ρ-VEX and TCE cores, respectively). It can be implemented on Zynq devices such as the ZedBoard, and supports OpenCL by means of the pocl (Portable OpenCL) project and our ALMAIF interface specification. This allows developers to execute kernels transparently on either processing elements, thereby allowing to optimize execution time with minimal design and development effort.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20206 - Computer hardware and architecture

Projekt

<a href="/cs/project/7H14004" target="_blank" >7H14004: ALMARVI - Algorithms, Design Methods, and Many-Core Execution Platform for Low-Power Massive Data-Rate Video and Image Processing</a><br>

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

Journal of Signal Processing Systems for Signal Image and Video Technology

ISSN

1939-8018

e-ISSN

—

Svazek periodika

91

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

13

Strana od-do

61-73

Kód UT WoS článku

000455335500006

EID výsledku v databázi Scopus

2-s2.0-85059522887