High-performacne and low-cost computing for indoor airflow

Wangda Zuo, Qingyan Chen

Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review

1 Citation (Scopus)


Computational fluid dynamics (CFD) can provide detailed information of flow motion, temperature distributions and species dispersion in buildings. However, it may take hours or days, even weeks to simulate airflow in a building by using CFD on a single central processing unit (CPU) computer. Parallel computing on a multi-CPU supercomputer or computer cluster can reduce the computing time, but the cost for such high performance computing is prohibitive for many designers. Our paper introduces high performance parallel computing of the airflow simulations on a graphics processing unit (GPU). The computing time can be reduced by 10 - 30 times using the GPU. Furthermore, the cost of purchasing such a GPU is only $500, which is less than 2% of a multi-CPU supercomputer or a computer cluster for the same performance.

Original languageEnglish
Number of pages6
Publication statusPublished - 2009
Event11th International IBPSA Conference - Building Simulation 2009, BS 2009 - Glasgow, United Kingdom
Duration: 27 Jul 200730 Jul 2007


Conference11th International IBPSA Conference - Building Simulation 2009, BS 2009
Country/TerritoryUnited Kingdom

ASJC Scopus subject areas

  • Computer Science Applications
  • Building and Construction
  • Architecture
  • Modelling and Simulation


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