Neuromorphic silicon photonics with 50 ghz tiled matrix multiplication for deep-learning applications

HIGHLIGHTS

• who: George Giamougiannis and collaborators from the Aristotle University of Thessaloniki, Department of Informatics, Thessaloniki, Greece have published the Article: Neuromorphic silicon photonics with 50 GHz tiled matrix multiplication for deep-learning applications, in the Journal: (JOURNAL) of 11/02/2023
• what: The authors demonstrate an analog SiPho computing engine that relies on a coherent architecture and can perform optical TMM at the record-high speed of 50 GHz.

SUMMARY

Advanced Photonics the matrix-vector multiplication (MVM) operations, which form the most time- and power-consuming computational task in DNNs. Remarkable . . .

 



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