Conference paper
Accelerating Deep Neural Networks with Analog Memory Devices
Stefano Ambrogio, Pritish Narayanan, et al.
AICAS 2020
Data stored as volume holograms—optical interference patterns imprinted into a photosensitive storage material—can be accessed both by address and by content. An optical correlation-based search compares each input query against all stored records simultaneously, a massively parallel but inherently noisy analog process. With data encoding and signal postprocessing we demonstrate a holographic content-addressable data-storage system that searches digital data with high search fidelity. © 1999 Optical Society of America.
Stefano Ambrogio, Pritish Narayanan, et al.
AICAS 2020
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ISCAS 2021
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IRPS 2021
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EDTM 2020