Impacts of Machine-learning in Future IC Design
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Impacts of Machine-learning in Future IC Design Naveen Verma ([email protected]) Oct. 19, 2020 1 Acknowledgements: This work was supported in part by C-BRIC, one of six centers in JUMP, a Semiconductor Research Corporation (SRC) program sponsored by DARPA
Transcript of Impacts of Machine-learning in Future IC Design
Impacts of Machine-learning in Future IC Design
Naveen Verma([email protected])
Oct. 19, 2020 1
Acknowledgements: This work was supported in part by C-BRIC, one of six centers in JUMP, a Semiconductor Research Corporation (SRC) program sponsored by DARPA
ML in IC design methodologies
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• ML will be (is already) involved in IC design and design methodologies… Today/Short-term
• Constraint solvers, non-linear optimization(placement, routing/pathfinding)
• Initial solutions, outlier detection(timing analysis, synthesis)
Future (?)• Signal integrity analysis (parasitics + timing)
[SLIP’15]• Multi-physics analysis (temp + IR + glitching)
[ASPDAC’16]
• ML is not magic, it is (data) science…
English
German
French
Vision: spatial encoding of sematics Language: seq. encoding of semantics
• Convolutional network: • LSTM network:
This will/should be a co-design process
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• E.g., large-area reconfigurable antenna
AntennaController𝒇!𝟏(𝒙)
𝒚𝟏
𝒚𝟐
𝒙𝟏(𝟐𝟎𝟖)
𝒙𝟐(𝟐𝟎𝟖)
(CNN model)Target From
AntennaTarget From
Antenna
• High-dimensional antenna control
Example Patterns from Controller
