ASF: A practical simulation-based methodology for the synthesis of custom analog circuits

Michael J. Krasnicki, Rodney Phelps, James R. Hellums, Mark McClung, Rob A. Rutenbar, L. Richard Carley

Research output: Contribution to journalArticlepeer-review


This paper describes ASF, a novel cell-level analog synthesis framéwork that can size and bias a given circuit topology subject to a set of performance objectives and a manufacturing process. To manage complexity and time-to-market, SoC designs require a high level of automation and reuse. Digital methodologies are inapplicable to analog IP, which relies on tight control of low-level device and circuit properties that vary widely across manufacturing processes. This analog synthesis solution automates these tedious, technology specific aspects of analog design. Unlike previously proposed approaches, ASF extends the prevalent "schematic and SPICE" methodology used to design analog and mixed-signal circuits. ASF is topology and technology independent and can be easily integrated into a commercial schematic capture design environment. Furthermore, ASF employs a novel numerical optimization formulation that incorporates classical downhill techniques into stochastic search. ASF consistently produces results comparable to expert manual design with lox fewer candidate solution evaluations than previously published approaches that rely on traditional stochastic optimization methods.

Original languageEnglish (US)
Article number53
Pages (from-to)350-357
Number of pages8
JournalIEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers
StatePublished - Jan 1 2001

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design


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