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Technology Mapping for Cryogenic CMOS Circuits

  • University of Bremen
  • Technical University of Munich
  • Universität Stuttgart
  • Indian Institute of Technology Kanpur
  • University of California at Berkeley
  • Software Competence Center Hagenberg

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Cryogenic CMOS circuits have garnered significant attention for their potential applications in fields such as quantum computing, magnetic resonance imaging, particle detectors, and space missions. Operating at temperatures below 77 K down to almost absolute zero, these circuits face stringent power constraints due to the limited cooling power available at deep cryogenic temperatures. While cryogenic operation can substantially reduce leakage current and improve transistor efficiency, it is crucial to optimize cryogenic CMOS circuits for minimal static and dynamic power consumption to operate within the cooling constraints. In this paper, we present a cryogenic-aware technology mapping approach to optimize the power characteristics of cryogenic CMOS circuits. The proposed method takes a technology-independent logic network and a cryogenic standard-cell library as input and produces a technology-mapped gate-level netlist with significantly reduced power consumption. By considering static and dynamic power constraints at cryogenic temperatures, the approach achieves up to a 26.89 % average reduction in power consumption compared to a state-of-the-art cryogenic-unaware algorithm. This optimization enables large-scale standard-cell-based digital circuits to operate efficiently at cryogenic temperatures in crucial applications.

Original languageEnglish
Title of host publication2024 IEEE Computer Society Annual Symposium on VLSI
Subtitle of host publicationEmerging VLSI Technologies and Architectures, ISVLSI 2024
EditorsHimanshu Thapliyal, Jurgen Becker
PublisherIEEE Computer Society
Pages272-277
Number of pages6
ISBN (Electronic)9798350354119
DOIs
StatePublished - 2024
Event2024 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2024 - Knoxville, United States
Duration: 1 Jul 20243 Jul 2024

Publication series

NameProceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI
ISSN (Print)2159-3469
ISSN (Electronic)2159-3477

Conference

Conference2024 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2024
Country/TerritoryUnited States
CityKnoxville
Period1/07/243/07/24

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