SOURCE-LINKED INTELLIGENCE

NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS

CORDIS · observation · Publication date unknown

se of their absence of long-term digital memory storage. Although electronic PUFs have received major attention thanks to their native CMOS implementation, for secure authentication they are prone to machine learning and side-channel attacks due to their CMOS technology. The NEUROPULS project aims to build next-generation low-power and secure edge-computing systems by developing novel photonic computing architectures and security layers based on photonic PUFs in augmented silicon photonics CMOS-compatible platforms. The integration of emerging non-volatile phase change materials for synapses/neurons and III-V materials for on-chip spiking sources, for the first time, will allow to build novel neuromorphic accelerators featuring RISC-V compliant interfaces for smooth adoption and programmability. Optimal performance will be achieved thanks to a novel full-system simulation platform for design space exploration. Three relevant use-cases will be considered for benchmarking to demonstrate 2 orders of magnitude energy efficiency improvement. Neuromorphic computing, silicon photonics, spik

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

8319510

unit

EUR