TY - JOUR
T1 - ASF
T2 - A practical simulation-based methodology for the synthesis of custom analog circuits
AU - Krasnicki, Michael J.
AU - Phelps, Rodney
AU - Hellums, James R.
AU - McClung, Mark
AU - Rutenbar, Rob A.
AU - Carley, L. Richard
PY - 2001
Y1 - 2001
N2 - 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.
AB - 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.
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U2 - 10.1109/ICCAD.2001.968646
DO - 10.1109/ICCAD.2001.968646
M3 - Article
AN - SCOPUS:0035208991
SN - 1092-3152
SP - 350
EP - 357
JO - IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers
JF - IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers
M1 - 53
ER -