International audienceIn this paper, we propose a VHDL-AMS implementation of a physical model of a microelectromechanical systems (MEMS) piezoelectric microgenerator. Such an executable model acts as a bridge between specifications and fabricated devices. Usually, physical and geometrical parameters of electromechanical parts of a system are only considered in lower levels of the design flow, typically using finite-element tools, which, despite their accuracy, do not allow efficient optimization of the structure properties and dimensions. Thus, it would be very interesting to have a model of the entire harvesting system (the MEMS piezoelectric microgenerator cascaded with the electronic circuit) to perform efficient optimization. Some features like damping effects and process fluctuations have considerable impact on the performance of MEMS, especially the resonant structures. We propose a method of integrating such features early in the design flow, while keeping the simulation time reasonable. The resulting model is reusable, predictive (comparable to experimental results) and respects Kirchhoff laws. Consequently, it can be integrated in global simulation of multidomain and mixed signal systems like wireless sensor nodes
International audienceModern SoCs are characterized by increasing power density and consequently increasing temperature, that directly impacts performances, reliability and cost of a device through its packaging. Thermal issues need to be predicted and mitigated as early as possible in the design flow, when the optimization opportunities are the highest. In this paper, we present an efficient framework for the design of dynamic thermal mitigation schemes based on a high-level SystemC virtual prototype tightly coupled with efficient power and thermal simulation tools. We demonstrate the benefit of our approach through silicon comparison with the SThorm 64-core architecture and provide simulation speed results making it a sound solution for the design of thermal mitigation early in the flow
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