Project Details

Algorithms, Design Methods, and Many-Core Execution Platform for Low-Power Massive Data-Rate Video and Image Processing

Project Period: 1. 4. 2014 - 30. 6. 2017

Project Type: grant

Code: 7H14002, 621439

Agency: Artemis Joint Undertaking

Program: Společné technologické iniciativy

Czech title
Algoritmy, metody návrhu a platforma pro many-core zpracování obrazu a videa s velkou propustností a malou spotřebou energie
Type
grant
Keywords

multi-core, many-core, low-power, massive data rate processing, embedded system, platform, architecture, system software stack, algorithm, resilience, variations, composable, cross-domain, tool chain, design method, design tool, application framework, resource management, power management, hardware-software collaborative techniques, mobile handset, healthcare, security, surveillance

Abstract

In order to address new societal challenges in the various fields (especially "Healthcare and wellbeing" and "Green, safe and supportive transportation"), platform solutions for high-end image/video processing need to be brought to the next level. The ALMARVI project aims at proactively addressing these issues at various system layers. 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 paralleled 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's scientific and technological developments will be validated and demonstrated in diverse use cases from three key industrial domains i.e., healthcare, security/surveillance/monitoring, and mobile. Therefore, in addition to providing scalable and cross-domain computing platforms for embedded systems, ALMARVI aims at providing "the core of solutions for the big societal challenges like affordable healthcare and wellbeing, green and safe transportation, reduced consumption of power ... [Artemis JU Annual Work Programme (AWP) 2013, Section 1] [28]". ALMARVI's technological developments will help in combating the complexity of advanced image/video processing applications from key industrial domains of European market, thus providing improved productivity and increased competitiveness of European market in different sectors. ALMARVI's platform solution will enable development of low-cost solutions for a wide-range of market in different industrial domains and create new market opportunities, in particular supporting SMEs. The ALMARVI project exhibits a consortium with complementary skills, market/industrial/business experience, and technical/organizational competence. This is crucial to accomplish the challenging goals of ALMARVI. ALMARVI partners are highly active at EU and international levels/markets. They possess a vast experience in contributing, successfully executing, and managing EU R&D projects.

Team members
Zemčík Pavel, prof. Dr. Ing. (UPGM FIT VUT) , research leader
Smrž Pavel, doc. RNDr., Ph.D. (UPGM FIT VUT) , team leader
Čekan Ondřej, Ing., Ph.D. (UPSY FIT VUT)
Hradiš Michal, Ing., Ph.D. (UPGM FIT VUT)
Hruška Tomáš, prof. Ing., CSc. (UIFS FIT VUT)
Jašek Roman, Ing. (Děkanát FIT VUT)
Juráček Ivo, Bc. (FIT VUT)
Kolář Dušan, doc. Dr. Ing. (UIFS FIT VUT)
Kotásek Zdeněk, doc. Ing., CSc. (UPSY FIT VUT)
Krčma Martin, Ing. (UPSY FIT VUT)
Lojda Jakub, Ing., Ph.D. (UPSY FIT VUT)
Podivínský Jakub, Ing., Ph.D. (UPSY FIT VUT)
Svoboda Pavel, Ing., Ph.D. (UITS FIT VUT)
Szentandrási István, Ing. (UPGM FIT VUT)
Zachariáš Michal, Ing., Ph.D. (UPGM FIT VUT)
Zachariášová Marcela, Ing., Ph.D. (UPSY FIT VUT)
Publications

2017

2016

2015

Products

2017

2015

2014

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