A combined feasibility and performance macromodel for analog circuits

The need to reuse the performance macromodels of an analog circuit topology challenges existing regression based modeling techniques. A model of good reusability should have a number of independent design parameters and each parameter can vary in a large numeric range. On the other hand, these requirements can cause a large percentage of functionally incorrect designs in the design space and thus results in a sparse feasible design space. They also complicate the mathematical relationship between the performance parameters and the design parameters. In order to tackle these challenges, this paper presents a combined feasibility and performance macromodel based on Support Vector Machines (SVMs). The feasibility model identifies the feasible designs that satisfy the design constraints. The performance macromodel is valid for feasible designs. Feasibility macromodeling is formulated as a classification problem while performance macromeling as a regression problem. An active learning sc...

• Type: Conference
• Year: 2005
• Where: DAC
• Authors: Mengmeng Ding, Ranga Vemuri
• Keywords: Computer Architecture, DAC 2005, Design Space, Feasible Design, Performance Macromodels