Invited: Neuromorphic architectures based on augmented silicon photonics platforms
Fuente:
arXiv
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| Autores principales: | , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
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| _version_ | 1866909247252463616 |
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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 |