GPU computing for patient-specific model of pulmonary airflow

Takami Yamaguchi, Y. Imai, T. Miki, Takuji Ishikawa

研究成果: Conference contribution

抄録

We propose an implementation of Lattice Boltzmann (LB) method on GPUs for simulating airflow in pulmonary airways with complex branches. An adaptive meshing method is developed for optimizing memory accessing, where the global domain comprises unstructured subdomains, while the local subdomain consists of a structured grids.We also develop a multi-GPU computing method based on a domain decomposition. For strong scaling tests with a subject-specific geometry (12 million LB nodes), the performance on 8 GPUs is approximately 200 GFLOPS, which is 100 times faster computation than 8 CPU cores.

本文言語English
ホスト出版物のタイトルComputational Modelling of Objects Represented in Images
ホスト出版物のサブタイトルFundamentals, Methods and Applications III - Proceedings of the International Symposium, CompIMAGE 2012
ページ239-242
ページ数4
出版ステータスPublished - 2012 10 26
イベント3rd International Symposium on Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications, CompIMAGE 2012 - Rome, Italy
継続期間: 2012 9 52012 9 7

Other

Other3rd International Symposium on Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications, CompIMAGE 2012
国/地域Italy
CityRome
Period12/9/512/9/7

ASJC Scopus subject areas

  • 計算理論と計算数学
  • モデリングとシミュレーション

フィンガープリント

「GPU computing for patient-specific model of pulmonary airflow」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル