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

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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
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  • 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
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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
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