SYSTEM AND METHOD FOR CIRCUIT SIMULATION BASED ON RECURRENT NEURAL NETWORKS
First Claim
1. A circuit simulator configured to simulate a degraded output of a circuit comprising a plurality of transistors, the circuit simulator comprising:
- a behavioral recurrent neural network configured to receive an input waveform and to compute a circuit output waveform;
a feature engine configured to model one or more degraded circuit elements in accordance with an aging time, to receive the circuit output waveform and to output a plurality of degraded features; and
a physics recurrent neural network configured to receive the plurality of degraded features from the feature engine and to simulate the degraded output of the circuit.
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Abstract
According to one embodiment of the present invention a circuit simulator configured to simulate a degraded output of a circuit including a plurality of transistors includes: a behavioral recurrent neural network configured to receive an input waveform and to compute a circuit output waveform; a feature engine configured to model one or more degraded circuit elements in accordance with an aging time, to receive the circuit output waveform and to output a plurality of degraded features; and a physics recurrent neural network configured to receive the plurality of degraded features from the feature engine and to simulate the degraded output of the circuit.
8 Citations
24 Claims
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1. A circuit simulator configured to simulate a degraded output of a circuit comprising a plurality of transistors, the circuit simulator comprising:
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a behavioral recurrent neural network configured to receive an input waveform and to compute a circuit output waveform; a feature engine configured to model one or more degraded circuit elements in accordance with an aging time, to receive the circuit output waveform and to output a plurality of degraded features; and a physics recurrent neural network configured to receive the plurality of degraded features from the feature engine and to simulate the degraded output of the circuit. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for simulating a degraded output of a circuit comprising a plurality of transistors, the method comprising:
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supplying an input waveform to a behavioral recurrent neural network to compute a circuit output waveform; supplying the circuit output waveform to a feature engine configured to model one or more degraded circuit elements in accordance with an aging time to compute a plurality of degraded features; and supplying the plurality of degraded features to a physics recurrent neural network to simulate the degraded output of the circuit. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A system for simulating a degraded output of a circuit comprising a plurality of transistors, the system comprising:
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means for computing a circuit output waveform from an input waveform; means for computing a plurality of degraded features from the circuit output waveform; and means for simulating the degraded output of the circuit based on the plurality of degraded features. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24)
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Specification