Dynamic Model Component Replacement for Simulation Fidelity
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Solution Overview
Problem
System-level designers face challenges in efficiently simulating complex integrated circuits due to the need for varying levels of detail in model components, which current methodologies fail to address effectively, leading to trade-offs between simulation effort and fidelity.
Innovation Solution
A modular simulation tool that monitors performance characteristics of model components and dynamically replaces them with alternative versions to adjust the level of detail during simulation, allowing for flexible and efficient simulation performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a detailed model component is used to improve simulation fidelity, then measurement precision is improved, but computational effort and simulation time increase
Solution Approach 1:
The patent applies dynamics by enabling model components to change their level of detail dynamically during simulation based on performance characteristics. The system transitions from static, fixed-abstraction-level models to dynamic models that can switch between different versions (e.g., detailed vs. simplified) at runtime, allowing optimization of simulation performance while maintaining fidelity where needed
Solution Approach 2:
The patent changes the parameter of model abstraction level during simulation execution. By monitoring performance characteristics and selectively replacing model components with different versions having varying levels of detail, the system adjusts the abstraction parameter dynamically to balance fidelity and computational efficiency
2Adaptability or versatility
If multiple fixed-level models are created to explore different aspects of system performance, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent implements universality by creating a single model framework that can perform multiple functions through dynamic version switching. Instead of maintaining separate fixed-level models for different aspects, the system uses one universal model structure that can adapt its detail level and functional characteristics during execution, reducing overall system complexity while preserving versatility
Solution Approach 2:
The system introduces dynamics to allow model components to transition between different abstraction levels during simulation. This dynamic capability enables a single model to adapt to different analysis requirements without requiring multiple static model definitions, thereby improving flexibility while managing complexity
Data Source
AI summary
Systems, methods, software, and techniques can be used to provide and monitor simulation environments including one or more model components. A particular model component can have multiple different versions of the model component having varying levels of abstraction. Executing model components are monitored, and depending on certain performance characteristics, a model component can be replaced with a different version of that model component.