Genetic Programming in Industrial Analog CAD: Applications and Challenges

McConaghy, Trent; Gielen, Georges

doi:10.1007/0-387-28111-8_19

Cited by 8 publications

(6 citation statements)

References 20 publications

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“…At the cell level, the closest we have seen is [15], which used genetic programming to automatically reinvent some small circuits from around-2000 patents, a pretty impressive feat. Unfortunately, the computational resources needed to generate those were incredibly high, and if the circuit problems were modeled with more industrial constraints, then the runtime would be about 150 years on a 1000-node 1-GHz cluster [16]. In our opinion, trust is an even bigger issue than computational cost.…”

Section: Topology Designmentioning

confidence: 99%

Automation in Mixed-Signal Design: Challenges and Solutions in the Wake of the Nano Era

McConaqhy

Gielen

2006

2006 IEEE/ACM International Conference on Computer Aided Design

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The use of CMOS nanometer technologies at 65 nm and below will pose serious challenges on the design of mixed-signal integrated systems in the very near future. Rising design complexities, tightening time-to-market constraints, leakage power, increasing technology tolerances, and reducing supply voltages are key challenges that designers face. Novel types of devices, new process materials and new reliability issues are next on the horizon. We discuss new design methodologies and EDA tools that are being or need to be developed to address the problems of designing such mixed-signal integrated systems.

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Section: Topology Designmentioning

confidence: 99%

Automation in Mixed-Signal Design: Challenges and Solutions in the Wake of the Nano Era

McConaqhy

Gielen

2006

2006 IEEE/ACM International Conference on Computer Aided Design

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“…At the cell level, the closest we have seen is [15], which used genetic programming to automatically reinvent some small circuits from around-2000 patents, a pretty impressive feat. Unfortunately, the computational resources needed to generate those were incredibly high, and if the circuit problems were modeled with more industrial constraints, then the runtime would be about 150 years on a 1000node 1-GHz cluster [16]. In our opinion, trust is an even bigger issue than computational cost.…”

Section: Topology Designmentioning

confidence: 99%

Automation in mixed-signal design

McConaghy

Gielen

2006

Proceedings of the 2006 IEEE/ACM International Conference on Computer-Aided Design - ICCAD '06

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“…Open-ended approaches like [3][4][5][6] search across unstructured combinations of transistors, but results are not trustworthy [7]. [8][9][10][11][12][13] use rule-based systems or pre-set behavior-to-structure mappings, which requires excessive setup effort.…”

Section: Introductionmentioning

confidence: 99%