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McMaster University

Cad / Optimization / Simulation Research

Computer-Aided Design and Test Research Group (CADT)

The Computer-Aided Design and Test Research Group (CADT) studies issues related to the design automation and validation of embedded computing systems.
The innovative hardware structures and architectures integrated with pertinent software algorithms and methodologies aim to reduce the design productivity gap caused by the very rapid increase in the complexity of modern systems-on-a-chip (SOC). The investigated techniques enable the efficient implementation, verification and manufacturing test of reliable hardware and software systems for data and signal processing, fault tolerant and safety critical real-time computing, infrastructure for virtual private networks, multimedia interfaces and other embedded information appliances.

More information on CADT at McMaster can be found here

Simulation Optimization Systems (SOS) Research Laboratory

The Simulation Optimization Systems (SOS) Research Laboratory is working on some exciting projects related to CAD/CAE of electronic devices and circuits. We focus on applications in the high speed, RF, wireless, VLSI and microwave areas such as modeling and design of active and passive components and circuits.

Engineers have been using optimization techniques for device, component and system modeling and CAD for decades. One of the frontiers that remain is the successful application of optimization procedures in problems for which direct application of traditional optimization approaches is not practical. The recent exploitation of iteratively refined surrogates of "fine," accurate or high-fidelity models, and the implementation of Space Mapping and related methodologies are attempts to address this issue.

We have discovered and are developing novel concepts such as Space Mapping technology, including the Aggressive Space Mapping approach to engineering design optimization and Generalized Space Mapping for engineering device modeling.

Space Mapping links models of different complexities, e.g., expensive full-wave EM simulations and fast, empirical circuit-theory based simulations, to accelerate iterative design optimization of engineering structures, e.g., waveguide components and microstrip circuits. It is a simple CAD methodology, which closely follows the traditional experience and intuition of engineers, yet appears to be amenable to rigorous mathematical treatment. The exploitation of properly managed "space mapped" surrogates promises significant efficiency in engineering design.

In the new Implicit Space Mapping (ISM) concept we allow preassigned parameters, not used in optimization, to change in some components of the coarse model.

We have forged links between Space Mapping technology and artificial neural network (ANN) technology for device modeling and circuit optimization.

Dr. John W. Bandler leads the group.

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