About: Algorithms, Design Methods, and Many-Core Execution Platform for Low-Power Massive Data-Rate Video and Image Processing     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Projekt, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
rdfs:seeAlso
Description
  • ALMARVI aims at providing cross-domain many-core platform solution, system software stack, tool chain, and adaptive algorithms that will enable massive data-rate image/video processing with high energy efficiency. ALMARVI will provide mechanisms and support for high degree of adaptivity at various system layers that will abstract the variations in the underlying platforms (e.g., due to imperfections in the fabrication process), communication channels (e.g., available bandwidth), application behaviour (dynamic workloads, changing requirements) from the application developer. This is crucial for providing consistent performance efficiency in an interoperable manner when considering heterogeneous platform options and dynamic operating conditions. The key is to leverage image/video content-specific properties, application-specific features, and inherent resilience properties of image/video processing applications. The goal of ALMARVI is to develop: - Adaptive, scalable, and parallelised algorithms for image and video processing - Cross-domain system software stack with adaptive run-time system for efficient resource/power management and improved interoperability - Concepts for continuous hardware and software adaptations - Cross-domain many-core execution platform scalable with off-the-shelf heterogeneous acceleration fabrics like FPGAs, embedded GPUs, DSPs, etc. - Design tools and methods for execution platform - Industrial-grade demonstrators for multiple application use cases to validate the project results.
  • ALMARVI aims at providing cross-domain many-core platform solution, system software stack, tool chain, and adaptive algorithms that will enable massive data-rate image/video processing with high energy efficiency. ALMARVI will provide mechanisms and support for high degree of adaptivity at various system layers that will abstract the variations in the underlying platforms (e.g., due to imperfections in the fabrication process), communication channels (e.g., available bandwidth), application behaviour (dynamic workloads, changing requirements) from the application developer. This is crucial for providing consistent performance efficiency in an interoperable manner when considering heterogeneous platform options and dynamic operating conditions. The key is to leverage image/video content-specific properties, application-specific features, and inherent resilience properties of image/video processing applications. The goal of ALMARVI is to develop: - Adaptive, scalable, and parallelised algorithms for image and video processing - Cross-domain system software stack with adaptive run-time system for efficient resource/power management and improved interoperability - Concepts for continuous hardware and software adaptations - Cross-domain many-core execution platform scalable with off-the-shelf heterogeneous acceleration fabrics like FPGAs, embedded GPUs, DSPs, etc. - Design tools and methods for execution platform - Industrial-grade demonstrators for multiple application use cases to validate the project results. (en)
Title
  • Algorithms, Design Methods, and Many-Core Execution Platform for Low-Power Massive Data-Rate Video and Image Processing
  • Algorithms, Design Methods, and Many-Core Execution Platform for Low-Power Massive Data-Rate Video and Image Processing (en)
skos:notation
  • 7H14012
http://linked.open...avai/cep/aktivita
http://linked.open...kovaStatniPodpora
http://linked.open...ep/celkoveNaklady
http://linked.open...datumDodatniDoRIV
http://linked.open...i/cep/druhSouteze
http://linked.open...ep/duvernostUdaju
http://linked.open.../cep/fazeProjektu
http://linked.open...ai/cep/hlavniObor
http://linked.open...vai/cep/kategorie
http://linked.open.../cep/klicovaSlova
  • multi-core; many-core; low-power; massive data rate; system software stack; resilience; variations; composable; cross-domain; tool chain; design tools; resource management; surveillance; healthcare (en)
http://linked.open...ep/partnetrHlavni
http://linked.open...inujicichPrijemcu
http://linked.open...cep/pocetPrijemcu
http://linked.open...ocetSpoluPrijemcu
http://linked.open.../pocetVysledkuRIV
http://linked.open...enychVysledkuVRIV
http://linked.open...lneniVMinulemRoce
http://linked.open.../prideleniPodpory
http://linked.open...iciPoslednihoRoku
http://linked.open...atUdajeProjZameru
http://linked.open...usZobrazovaneFaze
http://linked.open...ai/cep/typPojektu
http://linked.open...ep/ukonceniReseni
http://linked.open...ep/zahajeniReseni
http://linked.open...tniCyklusProjektu
http://linked.open.../cep/klicoveSlovo
  • multi-core
  • low-power
  • resilience
  • composable
  • cross-domain
  • design tools
  • many-core
  • massive data rate
  • resource management
  • surveillance
  • system software stack
  • tool chain
  • variations
is http://linked.open...vavai/cep/projekt of
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 18 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software