DATC RDF-2021: Design Flow and Beyond

Jianli Chen, Iris Hui Ru Jiang, Jinwook Jung, Andrew B. Kahng, Seungwon Kim, Victor N. Kravets, Yih-Lang Li, Ravi Varadarajan, Mingyu Woo

研究成果: Conference contribution同行評審

8 引文 斯高帕斯(Scopus)

摘要

This paper describes the latest release of the DATC Robust Design Flow (RDF), RDF-2021, which has several key additions to expand its horizons. The Chisel/FIRRTL compiler is now part of DATC RDF, enabling support of recent hardware generator designs written in Chisel. Logic locking through RTL obfuscation, an updated ABC synthesis flow, and DFT support are other notable updates to the RDF. A Bookshelf-LEF/DEF converter powered by OpenDB is also added into DATC RDF’s inventory as an enabler of robust benchmark conversion. We also describe efforts toward open metrics standards and datasets for machine learning (ML) applications and smart tuning of the design flow, as well as expansion of public analysis calibration data. Our paper closes with future research directions related to DATC’s efforts.

原文English
主出版物標題2021 40th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2021 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781665445078
DOIs
出版狀態Published - 2021
事件40th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2021 - Munich, Germany
持續時間: 1 11月 20214 11月 2021

出版系列

名字IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD
2021-November
ISSN(列印)1092-3152

Conference

Conference40th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2021
國家/地區Germany
城市Munich
期間1/11/214/11/21

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