GSS EU Science Funding Gateway

Proposals need to address:

• Tools allowing semi-automatic and automatic design space exploration, including variants of algorithms, computing paradigms, hardware performances, energy efficiency, etc.
• Scalable architecture, use of interposer and chiplets to build chips for various applications (for edge and for embedded HPC applications) with the same family of hardware building blocks with efficient interconnection network, e.g. using photonics.
• Development of hybrid architectures, integration and cooperation of neuromorphic or other non-conventional computing solutions within classical systems. Supporting design tool chains and OSs addressing multiple computing paradigms
• Middleware and engineering tools, to reach a trade-off between training cost, power consumption and execution time while supporting virtualization concepts.
• Advanced memory management
• Automated transfer-learning, meta-learning, and real-time learning at the edge
• Secure (i.e. trustworthy and explainable) edge-AI by design.