Coupling-aware functional timing analysis for tighter bounds: How much margin can we relax?

Jack S.Y. Lin, Louis Y.Z. Lin, Ryan H.M. Huang, Charles H.P. Wen

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

1 Scopus citations


As the manufacturing technology keeps scaling, crosstalk noise induces a greater impact on timing. Although many previous works proposed techniques like timing correlation, functional correlation and path refinement to consider crosstalk noise during static timing analysis, they often suffered from descendant problems including overly-pessimistic timing bound, bad aggressor selection and false paths. Therefore, in this paper, a coupling-aware functional timing analysis tool named CA-FTA is proposed to tame the three problems stated above and to derive a tighter timing bound for the true longest path. Experimental results show that CA-FTA averagely reduces timing bounds of those obtained from crosstalk STA (with path refinement) by 7.26% on several ISCAS'85 and ISPD-2012 benchmark circuits (in particular, by 34.6% for b19). As a result, CA-FTA successfully solves the aggressor-selection problem as well as the falsepath problem and relaxes more margins when considering crosstalk noise.

Original languageEnglish
Title of host publicationGLSVLSI 2017 - Proceedings of the Great Lakes Symposium on VLSI 2017
PublisherAssociation for Computing Machinery
Number of pages6
ISBN (Electronic)9781450349727
StatePublished - 10 May 2017
Event27th Great Lakes Symposium on VLSI, GLSVLSI 2017 - Banff, Canada
Duration: 10 May 201712 May 2017

Publication series

NameProceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI
VolumePart F127756


Conference27th Great Lakes Symposium on VLSI, GLSVLSI 2017


  • Coupling wire
  • Crosstalk noise
  • Functional timing analysis (FTA)
  • Static timing analysis (STA)

Fingerprint Dive into the research topics of 'Coupling-aware functional timing analysis for tighter bounds: How much margin can we relax?'. Together they form a unique fingerprint.

Cite this