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SYNC: Symposium Advanced neuromorphic computing hardware: Towards efficient machine learning

SYNC 1: Symposium: Advanced neuromorphic computing hardware: Towards efficient machine learning

SYNC 1.3: Hauptvortrag

Mittwoch, 29. September 2021, 11:00–11:30, Audimax 1

Photonic Tensor Core Processor and Photonic Memristor for Machine Intelligence — •Volker Sorger — George Washington University, Washington DC, USA

Photonic technologies are at the forefront of the ongoing 4th industrial revolution of digitalization supporting applications such as 5G networks, virtual reality, autonomous vehicles, and electronic warfare. With Moores law and Dennard scaling now being limited by fundamental physics, the trend in processor heterogeneity suggests the possibility for special-purpose photonic processors such as neural networks or RF-signal & image filtering. Here unique opportunities exist, for example, given by algorithmic parallelism of analog and distributed non-van Neuman architectures enabling non-iterative O(1) processors with ps-short delay towards real-time decision making. Here, I will share our latest work on photonic information processors to include a photonic tensor core including multistate photonic nonvolatile random-access memory [Appl. Phys. Rev.], and a massively parallel Fourier-optics convolutional processor [Optica]. In summary, photonics connects the worlds of electronics and optics, thus enabling new concepts of efficient intelligence information processing via algorithm-hardware homomorphism empowered by the distinctive properties of light.