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Photonic co-processors in HPC: using LightOn OPUs for Randomized Numerical Linear Algebra
Randomized Numerical Linear Algebra (RandNLA) is a powerful class of methods, widely used in High Performance Computing (HPC).
Hardware Beyond Backpropagation: a Photonic Co-Processor for Direct Feedback Alignment
We present a photonic accelerator for Direct Feedback Alignment, able to compute random projections with trillions of parameters.
Light-in-the-loop: using a photonics co-processor for scalable training of neural networks
As neural networks grow larger and more complex and data-hungry, training costs are skyrocketing.
Random Projections through multiple optical scattering: Approximating kernels at the speed of light
Random projections have proven extremely useful in many signal processing and machine learning applications.
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