F. Pavanello, Cédric Marchand, I. O’Connor, R. Orobtchouk, F. Mandorlo, X. Letartre, S. Cueff, E. Vatajelu, G. D. Natale, B. Cluzel, A. Coillet, B. Charbonnier, P. Noé, Frantisek Kavan, M. Zoldak, Michal Szaj, P. Bienstman, T. Vaerenbergh, U. Rührmair, Paulo F. Flores, L. G. Silva, R. Chaves, Luis Miguel Silveira, M. Ceccato, D. Gizopoulos, G. Papadimitriou, Vasileios Karakostas, Axel Brando, F. Cazorla, Ramon Canal, P. Closas, Adria Gusi-Amigo, P. Crovetti, Alessio Carpegna, Tzamn Melendez Carmona, S. Carlo, A. Savino
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引用次数: 0
摘要
本特别会议论文介绍了Horizon Europe NEUROPULS项目,该项目旨在利用增强硅光子技术开发安全节能的RISC-V接口神经形态加速器。我们的方法旨在开发一个增强型硅光子平台,一个fpga驱动的risc - v连接的计算平台,以及一个完整的仿真平台,以演示神经形态加速器的功能。特别是,它们的主要优点和局限性将涉及到每个平台的基础技术。然后,我们将讨论边缘计算应用的三个目标用例:全球国家卫星系统(GNSS)抗干扰、自动驾驶和边缘设备中的异常检测。最后,我们将讨论独立加速器实现和项目用例的可靠性和安全性方面。
EUROPULS: NEUROmorphic energy-efficient secure accelerators based on Phase change materials aUgmented siLicon photonicS
This special session paper introduces the Horizon Europe NEUROPULS project, which targets the development of secure and energy-efficient RISC-V interfaced neuromorphic accelerators using augmented silicon photonics technology. Our approach aims to develop an augmented silicon photonics platform, an FPGA-powered RISC-V-connected computing platform, and a complete simulation platform to demonstrate the neuromorphic accelerator capabilities. In particular, their main advantages and limitations will be addressed concerning the underpinning technology for each platform. Then, we will discuss three targeted use cases for edge-computing applications: Global National Satellite System (GNSS) anti-jamming, autonomous driving, and anomaly detection in edge devices. Finally, we will address the reliability and security aspects of the stand-alone accelerator implementation and the project use cases.