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 proceedingpeer-review


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
Title of host publication59th ACM/IEEE Design Automation Conference - Proceedings 2022
PublisherAssociation for Computing Machinery (ACM)
Number of pages6
ISBN (Print)9781450391429
Publication statusPublished - 13 Jul 2022
Event59th ACM/IEEE Design Automation Conference, DAC 2022 - San Francisco, United States
Duration: 10 Jul 202214 Jul 2022 (Conference website) (Conference programme) (Conference proceedings)

Publication series

NameACM/IEEE Design Automation Conference - Proceedings
ISSN (Print)0738-100X


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

Scopus Subject Areas

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


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