Partition and place finite element model on wafer-scale engine

Jinwei Liu, Xiaopeng Zhang, Shiju Lin, Xinshi Zang, Jingsong Chen, Bentian Jiang, Martin D.F. Wong, Evangeline F.Y. Young

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The finite element method (FEM) is a well-known technique for approximately solving partial differential equations and it finds application in various engineering disciplines. The recently introduced wafer-scale engine (WSE) has shown the potential to accelerate FEM by up to 10,000×. However, accelerating FEM to the full potential of a WSE is non-trivial. Thus, in this work, we propose a partitioning algorithm to partition a 3D finite element model into tiles. The tiles can be thought of as a special netlist and are placed onto the 2D array of a WSE by our placement algorithm. Compared to the best-known approach, our partitioning has around 5% higher accuracy, and our placement algorithm can produce around 11% shorter wirelength (L1.5-normalized) on average.

Original languageEnglish (US)
Title of host publicationProceedings of the 59th ACM/IEEE Design Automation Conference, DAC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781450391429
StatePublished - Jul 10 2022
Externally publishedYes
Event59th ACM/IEEE Design Automation Conference, DAC 2022 - San Francisco, United States
Duration: Jul 10 2022Jul 14 2022

Publication series

NameProceedings - Design Automation Conference
ISSN (Print)0738-100X


Conference59th ACM/IEEE Design Automation Conference, DAC 2022
Country/TerritoryUnited States
CitySan Francisco

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation


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