Exploring Standard-Cell Designs for Reconfigurable Nanotechnologies: A Formal Approach.

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Contributors

Abstract

Standard-cell design has always been a craft, and common field-effect transistors
span only a small design space.
This has changed with reconfigurable transistors.
Boolean functions that exhibit multiple dual product-terms in their sum-of-product
form yield various beneficial circuit implementations with
reconfigurable transistors.
In this work, we present an approach to automatically generate these implementations
through a formal modeling approach.
Using the 3-input XOR function as an example, we discuss the variations and
show how to quantify properties like worst-case delay and power
dissipation, as well as averages of delay and energy consumption per operation
over different scenarios.
The quantification runs fully automated on charge transport network models
employing probabilistic model checking.
This yields exact results instead of approximations obtained from experiments and sampling.
The highlight of our work is that the proposed approach provides a comprehensive
early technology evaluation flow.

Details

Original languageEnglish
Title of host publication2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Pages23-28
Number of pages6
Publication statusPublished - 2022
Peer-reviewedYes

Conference

Title2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022
Duration14 - 23 March 2022
CityVirtual, Online
CountryBelgium

External IDs

Scopus 85130816133

Keywords

Research priority areas of TU Dresden

DFG Classification of Subject Areas according to Review Boards

Subject groups, research areas, subject areas according to Destatis

Sustainable Development Goals

Keywords

  • Circuit analysis, Formal Verification, Nanoelectronics, Probabilistic model checking, Probability, Quantitative Analysis, Reconfigurable logic, Semiconductor device modeling