Leveraging FDSOI through body bias domain partitioning and bias search

Johannes Maximilian Kühn, Hideharu Amano, Oliver Bringmann, Wolfgang Rosenstiel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)


In FDSOI, sophisticated body biasing schemes can greatly reduce leakage or improve performance as well as efficiency. This paper proposes algorithms to determine body bias domain candidates which then merge those to reach a desired number of domains. Domain candidates are determined using an activation based approach, analyzing mapped verilog netlists to identify which parts of the design are used under specified conditions. Body bias domain partitionings are then determined based on activation and the timing of the partitioned parts. The algorithms include a body bias assignment algorithm to reach given timing goals with multiple domains and cross-domain resource sharing. The approach is compatible with any synthesis optimization and is resource sharing aware. Using an implementation of the proposed algorithms, overall leakage can be significantly reduced in all scenarios while obtaining the same benefits of body biasing. The method is evaluated in STMicro's 28nm FDSOI and Renesas's 65nm SOTB.

Original languageEnglish
Title of host publicationProceedings of the 53rd Annual Design Automation Conference, DAC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781450342360
Publication statusPublished - 2016 Jun 5
Event53rd Annual ACM IEEE Design Automation Conference, DAC 2016 - Austin, United States
Duration: 2016 Jun 52016 Jun 9

Publication series

NameProceedings - Design Automation Conference
ISSN (Print)0738-100X


Other53rd Annual ACM IEEE Design Automation Conference, DAC 2016
Country/TerritoryUnited States


  • Body biasing
  • Domain partitioning
  • Leakage optimization

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modelling and Simulation


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