dEsign enVironmEnt foR Extreme-Scale big data analyTics
on heterogeneous platforms
dEsign enVironmEnt foR Extreme-Scale big data analyTics on heterogeneous platforms
The main target is the creation of a hardware and software infrastructure dedicated to the analysis and processing of “big data”, which increases computing efficiency and simplifies the development of heterogeneous and distributed architecture programs.
The design approach, based on the objectivity of numbers (“data driven”), uses artificial intelligence and hardware acceleration.
The application will support the forecasting of the production, use and marketing of renewable wind, solar and hydroelectric energy, reducing the risks associated with major rising / falling events in market prices.
The application will make use of high-resolution weather forecasts on an hourly basis, real-time data acquisition and artificial intelligence models.
The technological challenge is to extract high-value knowledge from this huge and diverse information stream.
To meet this specific need, it is necessary to develop innovative analysis methods, characterized by high standards of performance and efficiency, with an approach based on artificial intelligence.