JeremieMelo/ADEPT
Automatic differentiable design of photonic tensor cores
This helps photonic integrated circuit designers automatically create efficient and compact photonic tensor cores (PTCs) for optical neural networks. It takes your desired circuit footprint constraints and foundry Process Design Kits (PDKs) as input and outputs optimized PTC designs. Photonic chip designers and researchers developing optical computing hardware would use this to accelerate the design process.
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Use this if you need to design high-performance, compact photonic tensor cores for optical neural networks while adhering to specific fabrication constraints and foundry rules.
Not ideal if you are not working with photonic integrated circuits or optical computing hardware, as this tool is highly specialized for that domain.
Stars
12
Forks
2
Language
Python
License
MIT
Category
Last pushed
Feb 26, 2022
Commits (30d)
0
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