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ICCAD
2008
IEEE

Importance sampled circuit learning ensembles for robust analog IC design

14 years 5 months ago
Importance sampled circuit learning ensembles for robust analog IC design
This paper presents ISCLEs, a novel and robust analog design method that promises to scale with Moore’s Law, by doing boosting-style importance sampling on digital-sized circuits to achieve the target analog behavior. ISCLEs consists of: (1) a boosting algorithm developed specifically for circuit assembly; (2) an ISCLEs-specific library of possible digital-sized circuit blocks; and (3) a recently-developed multi-topology sizing technique to automatically determine each block’s topology and device sizes. ISCLEs is demonstrated on design of a sinusoidal function generator and a flash A/D converter, showing promise to robustly scale with shrinking process geometries. Categories and Subject Descriptors B.7.1 [Integrated Circuits]: Types and Design Styles, B.7.2: Design Aids
Peng Gao, Trent McConaghy, Georges G. E. Gielen
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICCAD
Authors Peng Gao, Trent McConaghy, Georges G. E. Gielen
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