Overview of continuous optimization advances and applications to circuit tuning
Proceedings of the 2001 international symposium on Physical design
Thermal via allocation for 3D ICs considering temporally and spatially variant thermal power
Proceedings of the 2006 international symposium on Low power electronics and design
Efficient decoupling capacitance budgeting considering operation and process variations
Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design
Noise separation in analog integrated circuits using independent component analysis technique
Integrated Computer-Aided Engineering
Thermal via allocation for 3-D ICs considering temporally and spatially variant thermal power
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Sensitivity of a power supply damping method to resistance and current waveform variations
PATMOS'06 Proceedings of the 16th international conference on Integrated Circuit and System Design: power and Timing Modeling, Optimization and Simulation
Analog Integrated Circuits and Signal Processing
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Noise can cause digital circuits to switch incorrectly, producing spurious results. It can also have adverse power, timing and reliability effects. Dynamic logic is particularly susceptible to charge-sharing and coupling noise. Thus, the design and optimization of a circuit should take noise considerations into account. Such considerations are typically stated as semi-infinite constraints in the time-domain. Semi-infinite problems are generally harder to solve than standard nonlinear optimization problems. Moreover, the number of noise constraints can potentially be very large. This paper describes a novel and practical method for incorporating realistic noise considerations during automatic circuit optimization by representing semi-infinite constraints as ordinary equality constraints involving time integrals. Using an augmented Lagrangian optimization merit function, the adjoint method is applied to compute all the gradients required for optimization in a single adjoint analysis, no matter how many noise measurements are considered and irrespective of the dimensionality of the problem. Thus, for the first time, a method is described to practically accommodate a large number of noise considerations during circuit optimization. The technique has been applied to optimization using time-domain simulation, but could be applied in the future to optimization on a static-timing basis. Numerical results are presented