Invited: Neuromorphic architectures based on augmented silicon photonics platforms
Mat\v{e}j Hejda, Federico Marchesin, George Papadimitriou, Dimitris, Gizopoulos, Benoit Charbonnier, R\'egis Orobtchouk, Peter Bienstman, Thomas, Van Vaerenbergh, Fabio Pavanello

TL;DR
This paper presents a vision for neuromorphic accelerators utilizing integrated photonics with phase-change and III-V materials, supported by a CMOS-compatible platform and simulation tools for system-level benchmarking.
Contribution
It introduces a novel integrated photonic platform for neuromorphic computing and a simulation framework for performance evaluation.
Findings
Development of a CMOS-compatible photonic neuromorphic platform
Simulation of accelerator performance with RISC-V integration
Benchmarking results for speed, energy, and size
Abstract
In this work, we discuss our vision for neuromorphic accelerators based on integrated photonics within the framework of the Horizon Europe NEUROPULS project. Augmented integrated photonic architectures that leverage phase-change and III-V materials for optical computing will be presented. A CMOS-compatible platform will be discussed that integrates these materials to fabricate photonic neuromorphic architectures, along with a gem5-based simulation platform to model accelerator operation once it is interfaced with a RISC-V processor. This simulation platform enables accurate system-level accelerator modeling and benchmarking in terms of key metrics such as speed, energy consumption, and footprint.
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