WP5. Infrastructure Management and Integration


29 months, Aug 1st 2021 to Dec 31st 2023


WP5 main objective is to ensure successful E2F2C framework delivery for distributed extreme-scale audio analytics. The framework allows for powerful, scalable and real-time processing of multimodal audio-visual data on top of distributed deployment of MARVEL ML models. In details, WP5 aims to ensure:

  • provision and configuration of a powerful HPC infrastructure.
  • orchestration of infrastructure resource management and optimized automatic usage of external computational and storage resources.
  • seamless integration and quality assurance of software releases.
  • quantifiable progress against societal, academic and industry validated benchmarks.
  • real-life experimentation and validation at large scale.
  • continuous alignment with the responsible AI planning and guidelines set out in the first phase of the project.


NoTitleLeaderTypeDownload linkDue Date
D5.1MARVEL Minimum Viable ProductITMLDemoView and Download hereM12, Dec 31st, 2021
D5.2Technical evaluation and progress against benchmarks – initial versionTAUReportView and Download hereM14, Feb 27th, 2022
D5.3HPC infrastructure and resource management for audio-visual data analytics – initial versionPSNCReportTo be releasedM18, June 30th, 2022
D5.4MARVEL Integrated framework – initial versionITMLDemoTo be releasedM18, June 30th, 2022
D5.5Technical evaluation and progress against benchmarksATOSReportTo be releasedM30, June 30th, 2023
D5.6MARVEL Integrated framework – final versionITMLDemoTo be releasedM30, June 30th, 2023
D5.7MARVEL’s framework large scale deploymentINTRAReportTo be releasedM36, Dec 31st, 2023
D5.8HPC infrastructure and resource management for audio-visual data analytics – final versionPSNSReportTo be releasedM36, Dec 31st, 2023

Key Facts

  • Project Coordinator: Dr. Sotiris Ioannidis
  • Institution: Foundation for Research and Technology Hellas (FORTH)
  • E-mail: marvel-info@marvel-project.eu 
  • Start: 01.01.2021
  • Duration: 36 months
  • Participating Organisations: 17
  • Number of countries: 12

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This project has received funding from the European Union’s Horizon 2020 Research and Innovation program under grant agreement No 957337. The website reflects only the view of the author(s) and the Commission is not responsible for any use that may be made of the information it contains.