The Evolve project: A Convergence of Machine Learning and HPC to address Big Data challenges

November 29, 2021 - 09:30 - 11:00
Technology, platforms and impact
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Machine Learning (ML) is being increasingly used in many Big Data analytics applications while HPC is crucial for their computing power and storage capacity needs. Therefore, the convergence of ML and HPC becomes necessary to address the big data challenges in science and industry. The realization of this goal requires a concerted effort between AI, HPC and application domain experts.

The H2020 Evolve project undertakes this mission with a strong consortium to realize a ML implementation with an efficient and flexible framework and powered by a spectrum of computing accelerators in a HPC ecosystem. Several applications will be presented in this session to illustrate the adequacy of this work.

Angelos Bilas
Professor at Institute of Computer Science - Foundation for Research and Technology Hellas (FORTH-ICS)
Alexander Stocker
Key Researcher at Virtual Vehicle Research GmH
Huy-Nam Nguyen
at Evolve
Jean-Thomas Acquaviva
Tech lead at DDN Storage
Vassilis Spitadakis
Research and Innovation Manager at Neurocom SA
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