Coherent Silicon Photonics & Optical Neural Network GEMM
Enterprise Autonomous Agent Optical Neural Network & Silicon Photonics Compute Simulator
Benchmark coherent optical matrix multiplication (GEMM) using Mach-Zehnder Interferometer (MZI) meshes and Wavelength Division Multiplexing (WDM). Simulate in-flight waveguide time-of-flight latency, electro-optic conversions, and femtojoule-per-MAC energy efficiency against electronic GPU baselines.
Optical Matrix Compute Performance Matrix
- In-Flight Waveguide Latency: Light propagates through silicon waveguides at ~1.22x10⁸ m/s, completing a 256x256 Clements matrix multiply in 180 picoseconds of physical flight time.
- Energy Efficiency: Optical computing consumes <20 fJ/MAC for passive tensor operations, delivering >20x total power reduction over 4nm electronic GPUs.
- Dense WDM Parallelism: Simultaneous transmission across up to 32 ITU C-band wavelengths unlocks hundreds of Tera-Operations Per Second (TOPS) per square millimeter of die area.