HPC, Big Data, IoT and AI future industry-driven collaborative strategic topics
Big Data, BDVA community
The integration of Big Data, AI, IoT, Cloud/Edge/Fog Computing and HPC technologies allows exploiting large volumes of data coming from diverse and heterogeneous data sources by deploying data processing and data analytics tasks along the Computing Continuum. Building upon previous workshops held during 2020 with the H2020 ICT11 projects, this session aimed at identifying research and innovation needs in terms of convergence and alignment of the basic technologies and their utilization by industry, especially SMEs. Focus areas in the HPC-HPDA spectrum include Data, workflows, HPC/Cloud infrastructure to edge and AI/ML training. The session also aimed at engaging the new EuroHPC JU projects addressing these focus areas. Outcomes are relevant for the future research and innovation activities in both the EuroHPC JU, and the AI, Data and Robotics.
Sophia Karagiorgou (UBITECH) presented the CYBELE project, its contribution and services, in the relevant session along with other ICT-11 projects, such as DeepHealth, LEXIS, Evolve, IoTwins, Infinitech.
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Combining HPC, Big Data and Cloud technologies for scalable big data analytics of precision agriculture and livestock farming use cases deployed on supercomputers
External relevant stakeholders, end-users
All Cybele Technical partners
1st prototype version of Cybele platform (representing the outcomes of the first 2 years’ developments for CYBELE project) combining HPC, Big-Data and Cloud hardware and software for scalable data analytics executions.
During the workshop was explored the selected challenges of precision agriculture and livestock farming use cases in terms of data treatment while showcasing the solutions and optimizations in deploying data analytics on real-scale production supercomputers through the framework provided by CYBELE platform.