MunEDA GmbH - Products » Nominal Circuit Optimization

MunEDA – WiCkeD^TM Nominal Circuit Optimization Tools

MunEDA WiCkeD Nominal Circuit Optimization contain numerous methodologies to size and optimize integrated circuits regarding their functionality, topology concepts, performances, behavior against environmental and operating conditions and many more. Nominal means here the circuit behavior with typical, PVT and worst-case corner conditions. MunEDA offers within the WiCkeD suite numerous tools and methodologies for intensive Nominal Circuit Optimization for many application areas. These can support the circuit designer to reduce design time and effort and come up with high-performing and well-behaviouring circuits in an easy and convenient way.

Tool Logo	Tool Short Description	Features	Applications

	FEA – Feasibility Optimization FEA enables the circuit designer to automatically optimize the operating point of its design to fulfill all electrical/geometrical constraints. A feasible design represents a first step towards successful circuit optimization. Read more...	Topology Analysis and Diagnosis Constraint fulfillment Algorithm Find Closest Algorithm Find Central Minimum change of constraints Maximum over fulfillment of constraints	Topology Functional Analysis Feasible Design Constraint Handling and Constraint Management Initial Design Point Analysis Start for Circuit Optimization

	DNO – Deteministic Nominal Optimization DNO is a powerful optimization engine for automatic nominal circuit optimization. DNO improves circuit performance values by changing design parameters with unique gradient-based optimization algorithms to perform an automatic performance optimization. DNO is able to fully consider operating conditions and structural constraints on an user-defined and optional base. Read more...	Parameter-Specification driven Least-Square Algorithm Parameter Distance Algorithm SQP Algorithm Consideration of operating conditions	Automatic Performance Optimization Automatic Constraint Fulfillment Specification Driven Optimization

	GNO – Global Nominal Optimization GNO is a state-of-the-art stochastic optimization engine especially for optimization of circuits with non-linear behaviour. This enables to find global maxima and minima of the performance function. MunEDA GNO is able to fully consider operating conditions and structural constraints on an user-defined and optional base. Read more...	Performance specification bounds Parameters to modify Genetic Sizing Algorithms Adjustable number of iterations	Design Space Exploration Find initial sizing Find global maxima and minima of the performance function in design space