Photonic tensor core and nonvolatile memory for machine learning

Volker J. Sorger

doi:10.1117/12.2585716

9 March 2021 Photonic tensor core and nonvolatile memory for machine learning

Volker J. Sorger

Proceedings Volume 11680, Physics and Simulation of Optoelectronic Devices XXIX; 116800C (2021) https://doi.org/10.1117/12.2585716
Event: SPIE OPTO, 2021, Online Only

Abstract

Here, we introduce an integrated photonics-based tensor core unit by strategically utilizing i) photonic parallelism via wavelength division multiplexing, ii) high Peta-operations-per second throughputs enabled by 10’s of picosecond-short delays from optoelectronics and compact photonic integrated circuitry, and iii) near-zero static power-consuming novel photonic multi-state memories based on phase-change materials featuring vanishing losses in the amorphous state. Combining these physical synergies of material, function, and system, we discuss a design and performance of a 4-bit photonic tensor core unit.

Conference Presentation

Citation Download Citation

Volker J. Sorger "Photonic tensor core and nonvolatile memory for machine learning", Proc. SPIE 11680, Physics and Simulation of Optoelectronic Devices XXIX, 116800C (9 March 2021); https://doi.org/10.1117/12.2585716

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