MEMS Photonic Networks For Parallelized Matrix Multiplication Using Wavelength-Division Multiplexing

Sunil Pai; Nathnael Abebe; Rebecca L Hwang; David A. B. Miller; Olav Solgaard

doi:10.1364/CLEO_AT.2021.JTu3A.145

Conference on Lasers and Electro-Optics
OSA Technical Digest (Optica Publishing Group, 2021),
paper JTu3A.145
•https://doi.org/10.1364/CLEO_AT.2021.JTu3A.145

MEMS Photonic Networks For Parallelized Matrix Multiplication Using Wavelength-Division Multiplexing

Sunil Pai, Nathnael Abebe, Rebecca L Hwang, David A. B. Miller, and Olav Solgaard

CLEO: QELS_Fundamental Science 2021

San Jose, California United States
9–14 May 2021
ISBN: 978-1-943580-91-0

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Joint Poster Session I (JTu3A)

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S. Pai, N. Abebe, R. L. Hwang, D. A. B. Miller, and O. Solgaard, "MEMS Photonic Networks For Parallelized Matrix Multiplication Using Wavelength-Division Multiplexing," in Conference on Lasers and Electro-Optics, J. Kang, S. Tomasulo, I. Ilev, D. Müller, N. Litchinitser, S. Polyakov, V. Podolskiy, J. Nunn, C. Dorrer, T. Fortier, Q. Gan, and C. Saraceno, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper JTu3A.145.

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Abstract

We study dispersion models and design variations for programmable MEMS photonic networks to analyze scalability of parallel matrix-vector multiplication, which is a core element of commercially viable and energy-efficient photonic neural network accelerator chips.

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