A GPU-based DEM for modelling large scale powder compaction with wide size distributions

Y. He, T. J. Evans, A. B. Yu, R. Y. Yang

Research output: Contribution to journalArticleResearchpeer-review

22 Citations (Scopus)

Abstract

In the present study, we developed a GPU-based discrete element method (DEM) to tackle the challenges associated with modelling powder compaction, in particular large scale systems with wide size distributions. In the model, a multi-grid searching method specifically designed within the GPU architecture was proposed for particle neighbour searching. A memory layout was designed to ensure coalesced memory access for neighbour list and associated contact history. The proposed GPU implementation was able to achieve a three-level parallelism, from single GPU to GPUs within a computing node and to GPUs across nodes. The model was applied to powder compaction and the simulation results showed significant gain in computational efficiency and reliable prediction of the compaction behaviour.

Original languageEnglish
Pages (from-to)219-228
Number of pages10
JournalPowder Technology
Volume333
DOIs
Publication statusPublished - 15 Jun 2018

Keywords

  • CUDA
  • Discrete element method
  • GPU
  • Parallel computing
  • Powder compaction

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