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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Title: Automatic Surrogate Model Synthesis and Debugging of Analog/RF Designs via Collaborative Stimulus Generation and Behavior Learning
Committee:
Dr. Chatterjee, Advisor
Dr. Shaolan Li, Chair
Dr. Davenport
Abstract: The objective of the proposed research is to develop methodologies, support algorithms, test generation and model generation infrastructures for validation and diagnosis of RF, analog, and mixed-signal circuits. In this work a systematic approach for test generation and machine learningassisted model generation algorithms are presented. We show by exhaustive simulations, accurate behavioral model across input stimuli for different circuit examples can be synthesized with very fast simulation time compared to the respective transistor-level implementation. A behavior prediction algorithm also demonstrated the ability to quickly predict accurate process variation circuit performances without actually simulating transistor-level designs. Finally, a diagnosis algorithm that can detect and localize circuit error occurring during the manufacturing or design phases is presented. Results on voltage regulator, amplifier, and RF receiver are presented.
