Real Number Modeling for Mixed-Signal Verification
Real Number Modeling represents analog behavior with real-valued, event-driven signal-flow models. It enables digital-speed mixed-signal SoC verification, reduces dependence on analog solvers, supports scalable regression, and balances functional accuracy with major simulation performance gains.
Real Number Modeling represents analog behavior with real-valued, event-driven signal-flow models. It enables digital-speed mixed-signal SoC verification, reduces dependence on analog solvers, supports scalable regression, and balances functional accuracy with major simulation performance gains.
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Description
Real Number Modeling provides a practical way to represent analog and mixed-signal behavior inside digital-centric verification environments. Instead of solving every transistor, node voltage, and branch current through a continuous analog solver, RNM describes analog behavior as real-valued signal flow. Values are represented with floating-point real numbers, while time advances through discrete events, sampled updates, clocked behavior, or scheduled computation. This approach is especially useful for mixed-signal SoCs where full-chip verification requires speed, repeatability, and broad scenario coverage. Mixed-signal verification faces a persistent performance gap between analog and digital simulation. Digital verification scales through automation, metric-driven methods, reusable testbenches, coverage collection, and nightly regression. Analog simulation remains limited by detailed electrical solving, convergence behavior, and runtime cost. RNM helps move selected analog behavior from the sparse-matrix solver into the event-driven solver, allowing analog-related functionality to participate in fast full-chip verification without requiring transistor-level simulation for every ...
This resource includes
Description
Real Number Modeling provides a practical way to represent analog and mixed-signal behavior inside digital-centric verification environments. Instead of solving every transistor, node voltage, and branch current through a continuous analog solver, RNM describes analog behavior as real-valued signal flow. Values are represented with floating-point real numbers, while time advances through discrete events, sampled updates, clocked behavior, or scheduled computation. This approach is especially useful for mixed-signal SoCs where full-chip verification requires speed, repeatability, and broad scenario coverage. Mixed-signal verification faces a persistent performance gap between analog and digital simulation. Digital verification scales through automation, metric-driven methods, reusable testbenches, coverage collection, and nightly regression. Analog simulation remains limited by detailed electrical solving, convergence behavior, and runtime cost. RNM helps move selected analog behavior from the sparse-matrix solver into the event-driven solver, allowing analog-related functionality to participate in fast full-chip verification without requiring transistor-level simulation for every ...
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