DATC RDF-2020: Strengthening the Foundation for Academic Research in IC Physical Design

Jianli Chen, Iris Hui Ru Jiang, Jinwook Jung, Andrew B. Kahng, Victor N. Kravets, Yih Lang Li, Shih Ting Lin, Mingyu Woo

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

We describe the RDF-2020 release of the IEEE CEDA DATC Robust Design Flow (RDF). RDF-2020 extends the previous four years of DATC efforts to (i) preserve and integrate leading research codes, including from past academic contests, and (ii) provide a foundation and backplane for academic research in the RTL-to-GDS IC implementation arena. Implementation and analysis flows have been enhanced by the addition of steps including multi-bit flip-flop clustering, parasitic extraction and antenna checking, as well as a recent contest-winning global router. RDF-2020 also opens a new 'Calibrations' direction to support academic research on key analyses such as extraction and timing. An open-source physical design database with Tcl/Python/C++ APIs, a flow integration into a single scriptable application, and support for the newly-opened SKY130 manufacturable PDK, are also new this year. Our paper closes with a discussion of potential future directions for the RDF effort.

Original languageEnglish
Article number9256547
JournalIEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD
Volume2020-November
DOIs
StatePublished - 2 Nov 2020
Event39th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2020 - Virtual, San Diego, United States
Duration: 2 Nov 20205 Nov 2020

Keywords

  • academic reference flow
  • electronic design automation
  • open source
  • RTL-to-GDS
  • VLSI CAD

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