Photonic nonvolatile memory for optical matrix multiplications

Volker J. Sorger

doi:10.1117/12.2568254

20 August 2020 Photonic nonvolatile memory for optical matrix multiplications

Volker J. Sorger

Proceedings Volume 11461, Active Photonic Platforms XII; 114610A (2020) https://doi.org/10.1117/12.2568254
Event: SPIE Nanoscience + Engineering, 2020, Online Only

Abstract

Here we present a novel concept and its optimization of multi-level quantized non-volatile photonic memories based on a compact hybrid phase-change-material GSST-silicon Mach Zehnder modulator, with low insertion losses to serve as node in a photonic neural network. We demonstrate a 3-bit (8-state) photonic nonvolatile memory heterogeneously integrated into silicon PICs. We show switching operation of this device from the crystalline to the amorphous state using thermal heaters on-chip. We then show how these photonic memory elements can be utilized to design and demonstrate photonic tensor core functionality in vector matrix multiplication (VMM) engines with a compelling runtime complexity of O(1) uses O(N^3) resources (devices) could perform in the range 2-500fJ/MAC, 1-50 TMACs/mm^2, and ~100ps (1 clock cycle) per VMM operation.

Conference Presentation

Citation Download Citation

Volker J. Sorger "Photonic nonvolatile memory for optical matrix multiplications", Proc. SPIE 11461, Active Photonic Platforms XII, 114610A (20 August 2020); https://doi.org/10.1117/12.2568254

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