A distributed timing analysis framework for large designs

Tsung-Wei Huang, Martin D. F. Wong, Debjit Sinha, Kerim Kalafala, Natesan Venkateswaran

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

11 Citations (Scopus)

Abstract

Given ever-increasing circuit complexities, recent trends are driving the requirement for distributed timing analysis (DTA) in electronic design automation (EDA) tools. However, DTA has received little research attention so far and remains a critical problem. In this paper, we introduce a DTA framework for large designs. Our framework supports (1) general design partitions in distributed file systems, (2) non-blocking IO with event-driven loop for effective communication and computation overlap, and (3) an efficient messaging interface between application and network layers. The effectiveness and scalability of our framework has been evaluated on large hierarchical industry designs over a cluster with hundreds of machines.
Original languageEnglish
Title of host publication53rd ACM/IEEE Design Automation Conference
PublisherAssociation for Computing Machinery (ACM)
Pages1-6
Number of pages6
ISBN (Electronic)9781450342360, 9781467387293
ISBN (Print)9781467387309
DOIs
Publication statusPublished - Jun 2016
Event53nd ACM/EDAC/IEEE Design Automation Conference, DAC 2016 - Austin, United States
Duration: 5 Jun 20169 Jun 2016
https://dl.acm.org/doi/proceedings/10.1145/2897937 (Link to conference proceedings)
https://ieeexplore.ieee.org/xpl/conhome/7502236/proceeding

Publication series

NameProceedings of ACM/IEEE Design Automation Conference
ISSN (Print)0738-100X

Conference

Conference53nd ACM/EDAC/IEEE Design Automation Conference, DAC 2016
Country/TerritoryUnited States
CityAustin
Period5/06/169/06/16
Internet address

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