Parallel Lattice Boltzmann Flow Simulation on Emerging Multi-core Platforms

نویسندگان

  • Liu Peng
  • Ken-ichi Nomura
  • Takehiro Oyakawa
  • Rajiv K. Kalia
  • Aiichiro Nakano
  • Priya Vashishta
چکیده

A parallel Lattice Boltzmann Method (pLBM), which is based on hierarchical spatial decomposition, is designed to perform large-scale flow simulations. The algorithm uses critical section-free, dual representation in order to expose maximal concurrency and data locality. Performances of emerging multi-core platforms—PlayStation3 (Cell Broadband Engine) and Compute Unified Device Architecture (CUDA)—are tested using the pLBM, which is implemented with multi-thread and message-passing programming. The results show that pLBM achieves good performance improvement, 2.43 for Cell over a traditional Xeon cluster and 8.76 for CUDA graphics processing unit (GPU) over a Sempron central processing unit (CPU). The results provide some insights into application design on future many-core platforms.

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تاریخ انتشار 2008