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This paper shows new insights on the stochastic nature of aging-related timing impact in digital circuits. Varying critical paths through aging trigger the need for aging compensation control loop based on an unsupervised machine learning algorithm. Adaptive Resonance Theory (ART) algorithm is favored for its ability to handle the stability-plasticity dilemma.
New insights on the stochastic nature of aging-related timing impact in digital circuits trigger the need for aging compensation control loop. Such control loops enable additional 22% power savings but require dedicated safety measures (either margin or monitoring) to enable fault-free operations even in cases of out-of-specifications usage.
A novel control loop enables Dynamic Adaptive Voltage Scaling in a demonstrator with digital cores tightly coupled with monitors and Dynamic Controller. Control loop robustness is validated by Markov chains and experimental results. Monitors allow circuits to execute instructions from workloads in fault-free way with power savings up to 50%.
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