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• W2337145372 abstract "Increasing process variability and shrinking voltage headroom in advanced silicon processes have limited the efficacy of existing design and layout techniques, especially for analog circuits that push the performance envelope. Process variations and high-performance specifications has started to cause unpredictable and unacceptable product yield that requires new design methodologies with post-manufacturing tuning capability. Self-healing design style, in which a tunable analog circuit is integrated together with performance sensors and a tuning algorithm, can restore the performance loss due to process and environment variability. Furthermore, self-healing can be utilized to optimize the circuits with multiple operating modes where the performance is sensitive to the circuit state. In this dissertation, we address what we consider to be the major challenges in designing self-healing systems with digital tuning: integrated performance sensing; robust algorithm design and verification before manufacturing. We present a general review of self-healing design challenges, important design trade-offs and propose general guidelines. We propose the use of indirect sensing for performance metrics that are either difficult or impractical to measure using integrated circuits. We then present a catalog of techniques for self-healing system verification including circuit simulation, behavioral modeling and simulation. We also explore applicability of formal techniques towards verification of self-healing systems. To demonstrate our work we focus specifically on self-healing challenges as they relate to the design of phase locked loops (PLL) a challenging design example that requires multiple self-healing loops for higher performance. We apply indirect sensing method for phase noise in voltage controlled oscillators and frequency response of PLL’s. We also present a hybrid PLL model that enables reachability analysis and discuss the generalization of reachability analysis to self-healing circuits." @default.
• W2337145372 created "2016-06-24" @default.
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• W2337145372 date "2012-01-01" @default.
• W2337145372 modified "2023-09-26" @default.
• W2337145372 title "SELF-HEALING DESIGN METHODOLOGIES FOR ANALOG INTEGRATED CIRCUITS" @default.
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