What is it about?
Analog sizing problem is finding optimal design variable values to meet circuit performance specifications. An automated flow communicates with the circuit repetitively and optimizes the transistor sizes. We introduce a unique parallelized flow to harvest the information coming from cheap simulations of the circuits and reduce the total optimization time.
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Why is it important?
We introduce a theory-based optimal decision strategy to decide how frequently the expensive simulations will run. Our framework is generalizable, and large-scale analog designs where the cost of expensive simulations is higher can especially benefit from it.
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This page is a summary of: APOSTLE, January 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3566097.3567880.
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