Invited: Neuromorphic architectures based on augmented silicon photonics platforms

Fuente: arXiv
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Hauptverfasser: Hejda, Matěj, Marchesin, Federico, Papadimitriou, George, Gizopoulos, Dimitris, Charbonnier, Benoit, Orobtchouk, Régis, Bienstman, Peter, Van Vaerenbergh, Thomas, Pavanello, Fabio
Format: Preprint
Veröffentlicht: 2024
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author Hejda, Matěj
Marchesin, Federico
Papadimitriou, George
Gizopoulos, Dimitris
Charbonnier, Benoit
Orobtchouk, Régis
Bienstman, Peter
Van Vaerenbergh, Thomas
Pavanello, Fabio
author_facet Hejda, Matěj
Marchesin, Federico
Papadimitriou, George
Gizopoulos, Dimitris
Charbonnier, Benoit
Orobtchouk, Régis
Bienstman, Peter
Van Vaerenbergh, Thomas
Pavanello, Fabio
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2407_06240
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Invited: Neuromorphic architectures based on augmented silicon photonics platforms
Hejda, Matěj
Marchesin, Federico
Papadimitriou, George
Gizopoulos, Dimitris
Charbonnier, Benoit
Orobtchouk, Régis
Bienstman, Peter
Van Vaerenbergh, Thomas
Pavanello, Fabio
Emerging Technologies
Signal Processing
Optics
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.
title Invited: Neuromorphic architectures based on augmented silicon photonics platforms
topic Emerging Technologies
Signal Processing
Optics
url https://arxiv.org/abs/2407.06240