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On Vectorization For Lattice Based Simulations

Author

Listed:
  • ANIRUDDHA G. SHET

    (Parallel Computing Lab, Intel Labs, Bangalore-560103, India)

  • K. SIDDHARTH

    (Engineering Mechanics Unit, JNCASR, Bangalore-560064, India)

  • SHAHAJHAN H. SORATHIYA

    (Engineering Mechanics Unit, JNCASR, Bangalore-560064, India)

  • ANAND M. DESHPANDE

    (Parallel Computing Lab, Intel Labs, Bangalore-560103, India)

  • SUNIL D. SHERLEKAR

    (Parallel Computing Lab, Intel Labs, Bangalore-560103, India)

  • BHARAT KAUL

    (Parallel Computing Lab, Intel Labs, Bangalore-560103, India)

  • SANTOSH ANSUMALI

    (Engineering Mechanics Unit, JNCASR, Bangalore-560064, India)

Abstract

We present a vector-friendly blocked computing strategy for the lattice Boltzmann method (LBM). This strategy, along with a recently developed data structure, Structure of Arrays of Structures (SoAoS), is implemented for multi-relaxation type lattice Boltzmann (LB). The proposed methodology enables optimal memory bandwidth utilization in the advection step and high compute efficiency in the collision step of LB implementation. In a dense computing environment, current performance optimization framework for LBM is able to achieve high single-core efficiency.

Suggested Citation

  • Aniruddha G. Shet & K. Siddharth & Shahajhan H. Sorathiya & Anand M. Deshpande & Sunil D. Sherlekar & Bharat Kaul & Santosh Ansumali, 2013. "On Vectorization For Lattice Based Simulations," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 24(12), pages 1-12.
    • Handle: RePEc:wsi:ijmpcx:v:24:y:2013:i:12:n:s0129183113400111
    DOI: 10.1142/S0129183113400111
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