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

ALMARVI is an ARTEMIS JU standard project. ALMARVI targets low-power adaptive platform solution for healthcare, smart phone and security industries which are as part of big societal challenges affordable healthcare and wellbeing and green and safe transportation.

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.

Please, do not hesitate to contact Jiri Kadlec and Zdenek Pohl for more information.

Project results

Project presentation


Acronym: ALMARVI
Name: Algorithms, Design Methods, and Many-Core Execution Platform for Low-Power Massive Data-Rate Video and Image Processing
Project No.: ARTEMIS JU 621439
MSMT 7H14004
web: http://www.almarvi.eu
Consortium: Philips Healthcare, Netherlands (Project Coordinator)
Vector Fabrics BV, Netherlands
Technische Universiteit Delft, Netherlands
Embedded Systems Institute, Netherlands
Nokia Oyj, Finland
Hurja Solutions Oy, Finland
Visidon Oy, Finland
ITA-SUOMEN YLIOPISTO, Finland
VTT Technical Research Center of Finland, Finland
Tampere University of Technology, Finland
Turun yliopisto, Finland
Institute of Information Theory and Automation of the AS CR, Czech Rep.
Brno University of Technology, Czech Rep.
CAMEA, spol. s r.o., Czech Rep.
ASELSAN, Turkey
Ozyegin University, Turkey
Duration: 1 April 2014 - 30 June 2017

Presentations