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Outcome

 

Partner: ERI, CEA, INBV, KATAM, ULUND, IFAG 

 

Conventional processor architectures use the load-store concept which results in compute performance being throttled by memory bandwidth limitations. SC2 will develop specialized forward-looking computing architectures which target the requirements of drones through the co-location of compute and memory, thus realizing efficient acceleration for perception and decision-making. This demonstrator will explore the performance efficiency advantages in a lab-environment, using synthetic traces and limited sensor data streams, within the requirements/specification envelope of selected use-cases. 

  


 

Acknowledgement

ADACORSA has received funding from the ECSEL Joint Undertaking (JU) under grant agreement No 876019.
The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Germany, Netherlands, Austria, France, Sweden, Cyprus, Greece, Lithuania, Portugal, Italy, Finland, Turkey.