Presentation
9 March 2021 Photonic machine intelligence
Author Affiliations +
Abstract
With an ongoing trend in computing hardware toward increased heterogeneity, domain-specific coprocessors are emerging as alternatives to centralized paradigms. Here I will introduce and discuss key concepts on PIC-based photonic paradigms for machine intelligence. These include parallelization strategies, real-time computing (~ps), non-iterative one-shot execution O(1) run-time complexities, synergistic convolutions, photonic nonvolatile (multistate) memory. These device, circuit, and system design paradigms allow realizing PIC-based special-purpose processors in this ongoing trend towards increased heterogeneity. As an example, I will share a photonic tensor core processor and a massively-parallel convolutional neural network processor.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Volker J. Sorger "Photonic machine intelligence", Proc. SPIE 11692, Optical Interconnects XXI, 116920Y (9 March 2021); https://doi.org/10.1117/12.2576950
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KEYWORDS
Data processing

Convolution

Convolutional neural networks

Picosecond phenomena

Real-time computing

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