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

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 accel¬erator chips.