Skip to main content

Abstract

This chapter presents a short overview of AIDA-C flow. Also, changes related to the implementation of the new MC-based yield estimation methodology, which led to the new AIDA-C Variation-Aware version tool, are detailed. AIDA-C is an analog circuit sizing simulation-based, multi-objective, and multi-constraint optimization tool. As a simulation-based optimization tool, AIDA-C evaluates potential solutions using an electrical simulator. Among the different circuit simulators supported by the evaluation module are commercial simulators, such as Cadence® Spectre®, Mentor Graphics’ ELDO™, or Synopsys® HSPICE®, and open-source simulators like the NGSpice circuit simulator.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. N. Lourenço, R. Martins, N. Horta, Automatic Analog IC Sizing and Optimization Constrained with PVT Corners and Layout Effects (Springer International Publishing, Cham, 2017)

    Book  Google Scholar 

  2. N. Lourenço, R. Martins, A. Canelas, R. Póvoa, N. Horta, AIDA: layout-aware analog circuit-level sizing with in-loop layout generation. Integration VLSI J. 55, 316–329 (2016)

    Article  Google Scholar 

  3. R. Martins, N. Lourenço, N. Horta, Analog Integrated Circuit Design Automation – Placement, Routing and Parasitic Extraction Techniques (Springer International Publishing, Cham, 2017)

    Google Scholar 

  4. Mentor, A Siemens Business. [Online]. Available: http://www.mentor.com. Accessed 10 Sept 2017

  5. C. McAndrew, I.-S. Lim, B. Braswell, D. Garrity, Corner models: inaccurate at best, and it only gets worst…, in Proc. IEEE Custom Integr. Circuits Conf., 2013

    Google Scholar 

  6. S. Bandyopadhyay, S. Saha, Some single- and multiobjective optimization techniques, in Unsupervised Classification: Similarity Measures, Classical and Metaheuristic Approaches, and Applications, (Springer, Berlin, 2013), pp. 17–55

    Chapter  Google Scholar 

  7. M. Reyes-sierra, C.A.C. Coello, Multi-objective particle swarm optimizers: a survey of the state-of-the-art. Int. J. Comput. Intell. Res. 2(3), 287–308 (2006)

    MathSciNet  Google Scholar 

  8. R. Lourenço, N. Lourenço, N. Horta, AIDA-CMK: Multi-Algorithm Optimization Kernel Applied to Analog IC Sizing (Springer International Publishing, Cham, 2015)

    Book  Google Scholar 

  9. A. Canelas, R. Martins, R. Póvoa, N. Lourenço, J. Guilherme, N. Horta, Enhancing an automatic analog IC design flow by using a technology-independent module generator, in Performance Optimization Techniques in Analog, Mixed-Signal, and Radio-Frequency Circuit Design, (IGI-Global, Hershey, PA, 2014), pp. 102–133

    Google Scholar 

  10. E. Maricau, G. Gielen, Analog IC Reliability in Nanometer CMOS (Springer-Verlag, New York, 2013)

    Book  Google Scholar 

  11. M. Aslam, Statistical monitoring of process capability index having one sided specification under repetitive sampling using an exact distribution. IEEE Access 6, 25270–25276 (2018)

    Article  Google Scholar 

  12. Y.T. Tai, W.L. Pearn, Measuring the manufacturing yield for skewed wire bonding processes. IEEE Trans. Semicond. Manuf. 28(3), 424–430 (2015)

    Article  Google Scholar 

  13. G. Moretti, Senior Editor Chip Design Magazine, Complexity of Mixed-signal Designs, 28 Aug 2014. [Online]. Available: http://chipdesignmag.com/sld/blog/2014/08/28/complexity-of-mixed-signal-designs/. Accessed 16 Sept 2018

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Canelas, A.M.L., Guilherme, J.M.C., Horta, N.C.G. (2020). AIDA-C Variation-Aware Circuit Synthesis Tool. In: Yield-Aware Analog IC Design and Optimization in Nanometer-scale Technologies. Springer, Cham. https://doi.org/10.1007/978-3-030-41536-5_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-41536-5_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-41535-8

  • Online ISBN: 978-3-030-41536-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics